What is UniFarm (UFARM) | What is UniFarm token | What is UFARM token

In this article, we’ll discuss information about the UniFarm project and UFARM token

Our journey in Decentralized Finance began with the launch of OroPocket, at the stroke of midnight on 1st January 2020. Our vision was simple - empowering users to “own their money”.

Instead of parking their money with banks, users could keep them in assets (such as gold, silver, stocks, ETFs, real estate etc.) and spend it in real-time using a bunch of financial services such as an asset-backed debit card, instant loans, earning yield on assets etc.

This enabled the users to get 100% insurance on their “money” and the ability to beat inflation.

We received good traction for our product and soon decided to turn it into a completely decentralized offering with OpenDeFi Finance. The Open nature of OpenDeFi could enable adding various asset classes and empower developers to build financial services on it.

Unlike a bank, we’re open. Just plug and play.

Soon after the launch, we partnered with over 20 startups and reputed companies to expand and thus began the development journey of OpenDeFi and the launch of its governance token $ORO.

During this period, we realized that several startups are raising capital, and most of them raise capital to build products. While they’re building, there’s no real utility of the token, and hence the price kept falling. We decided to solve this problem for ORO.

We spoke with several partners and founders who were facing similar challenges. We got back to the whiteboard and started working on a solution. With a basic framework, we reached out to some of our close associates, and they were more than willing to experiment. This is how the first cohort of UniFarm was born with $ORO, $MATIC (now Polygon), $REEF, $CNTR and $FRONT.

We’re ever so grateful to them and their community for the overwhelming response and amazing feedback. Thus UniFarm was born.

With this whitepaper, we introduce UniFarm, an innovative farming solution.

UniFarm

UniFarm is an innovative farming solution where a bunch of projects come together to create a reward pool. Users can stake any one token and get multiple tokens as rewards.

For example, if there’s a UniFarm pool of $ORO, $MATIC, $REEF, $CNTR and $FRONT, you could stake any of these tokens and start earning all the tokens as rewards.‌

We guarantee a minimum APY, and there is absolutely no market exposure.‌

UniFarm is a win-win solution for all the parties involved—projects and investors alike.‌

The investors get to enjoy a good APY and get a bunch of reputed project tokens as rewards without any market exposure risks.‌

Projects get exposure to a new set of investors and get their tokens staked, giving them more room to build and grow.

Problem Statements

Faced by Startups and Investors

1. Token Price Fluctuation

While building a startup, the team has to worry about countless things, including building, marketing, finding product-market fit, hiring the right resources, testing, auditing, taxes, churn etc. Add to it the burden of token’s price falling, and everything turns to chaos.

The community narrative changes, people start FUDing etc. Startups have to deploy sizeable resources to control this and figure out ways to control further damage.

Solution: UniFarm creates a utility for the tokens. By creating a pool with UniFarm, startups enable a new utility for their tokens, which is that now it can be staked to earn a bunch of other tokens as rewards. Since tokens are now getting staked, they are removed from the trading supply giving startups breathing space to focus on other aspects.

2. Creating a Demand For the Token

Most of the activities that startups do, such as partnerships, marketing, PR, product releases, social media marketing etc., are geared towards creating demand for their offering and token. Since there are literally thousands of startups fighting for the same space, this can be an uphill battle.

Solution: UniFarm brings together an entire group of good startups to form a cohort. We do aggressive marketing of each TOKEN across various communities of the cohort, making sure each gets access to a newer set of investors. The gamification framework on UniFarm ensures that if few users are staking, the APY is very high (250% to 350%), encouraging investors to stake more tokens, thereby creating a demand for it. UniFarm also guarantees a minimum APY to ensure value creation for stakers.

3. Pump and Dump

Good Startups want to stay far away from any pump and dump schemes because they are in this for the long haul. Artificial price inflation has only a very short term benefit but can cause massive issues in the long run.

The easiest way to lose the trust of community and early backers is by getting even remotely associated with Pump-and-Dump schemes.

Solution: UniFarm‘s gamification framework is designed to encourage users to stake tokens and stay in the pool for a longer duration. The longer they stay in, the more rewards they earn. The framework also encourages new investors to join in the tokens, creating demand and ensuring a reduction in the number of tokens available for trading.

How it Works

UniFarm brings together a cohort of projects to create a reward pool. The token holders of any of those projects can stake their tokens to get all project tokens as rewards.

For example, let’s say there’s a cohort with the following projects: $ORO, $RAZOR, $PAID, $OM, $ROYA and $PLOT.

Users can stake any one token and get all as rewards.

If you’re staking $OM, then here is how the reward sequence will work:

Week 1: You’ll be earning $OM as rewards.

Week 2: You’ll be earning $OM and $ORO as rewards.

Week 3: You’ll be earning $OM, $ORO, $RAZOR as rewards.

Week 4: You’ll be earning $OM, $ORO, $RAZOR and $ROYA as rewards.

Week 5 onwards: You’ll be earning $OM, $ORO, $RAZOR, $ROYA and $PLOT as rewards.

We guarantee a minimum APY for each cohort, ensuring value creation for stakers. Here is a detailed article on how the APY is calculated: https://blog.oropocket.com/how-to-use-oropocket-platform/how-to-calculate-total-apy-in-unifarm/​

Tokenomics

Token Ticker: $UFARM

Total Supply: 1,000,000,000 $UFARM

Fundraise: 140,000,000 - 14%: Variable for different rounds. Details below

Liquidity for exchanges: 50,000,000 - 5%: Unlocked for Balancer/Exchange liquidity/IDO. Liquidity will be added at $0.04

Farming: 500,000,000 - 50%: UniFarm pool farming
Team: 100,000,000 - 10%: Cliff for 1 year, monthly unlock from 13-24 months
Advisors: 50,000,000 - 5%: Cliff for 6 months, daily linear unlocking from days 181-360
Marketing: 50,000,000 - 5%: Cliff for 3 months; Monthly unlocking from month 4-24
Company Reserve: 60,000,000 - 6%: Cliff for 6 months; Quarterly unlock over 6 quarters
Community: 50,000,000 - 5%: Variable for community. Details below

Use Cases

$UFARM Token Use Cases

1. Governance

$UFARM is the governance token for UniFarm platform. We’re working on converting it into an independent SaaS offering so developers and projects can build unique offerings for the different pools. All protocol-level changes shall be governed by voting using $UFARM tokens.

2. Staking

$UFARM token will be part of all major cohorts, enabling token holders to stake $UFARM tokens and earn a bunch of other high-quality project tokens at a good APY.

3. Premium Pools

UniFarm would be launching several premium pools and offering, which would be available to $UFARM token holders on a TIER structure.

4. Premium Offerings

UniFarm is collaborating with several platforms, launchpads, wallets and service providers to synergies with them for issuing tickets etc. This would be made available to $UFARM token holders on a TIER structure.

5. Add-ons Access

UniFarm is working on adding several add-ons (such as on-chain insurance, NFT farming etc.). These would be made available to $UFARM token holders for a TIER structure.

6. Paying Fees

As we move towards a SaaS model, all premium features would be accessible to developers and projects by paying fees in $UFARM token. Essentially, it would be the utility token for building on UniFarm.

Breathable Economy

Planning for Scale

For any economy to survive, there has to be contraction and expansion. Most of the world’s economies work on this principle, and hence they’re able to scale and last.

UniFarm works on a similar model.

Contraction: Buy Back & Lock

UniFarm charges fees from projects that join cohorts. 25% of this fee shall be used to buy back $UFARM tokens and lock them up on the chain for 12 months.

Not only will this ensure a steady contraction but also provide stability needed to scale.

After 12 months, the tokens shall move to the treasury. Unlike the traditional startup world, where there are Series A/B/C/D funding rounds available for scaling, we need to ensure that treasury is well-capitalized to effectively scale for a token economy. By locking up the tokens and then moving to treasury provides us with this capability.

Expansion: Farming

50% of the $UFARM tokens are reserved for farming. This is how $UFARM would be made available to various cohorts. This will ensure a steady supply of tokens over time.

The expanding economy will help us prevent any massive price movements or pumps-and-dumps.

How and Where to Buy UFARM token?

UFARM token is now live on the Ethereum mainnet. The token address for UFARM is 0x40986a85b4cfcdb054a6cbfb1210194fee51af88. Be cautious not to purchase any other token with a smart contract different from this one (as this can be easily faked). We strongly advise to be vigilant and stay safe throughout the launch. Don’t let the excitement get the best of you.

Just be sure you have enough ETH in your wallet to cover the transaction fees.

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

SIGN UP ON BINANCE

Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)

Next step

You need a wallet address to Connect to Uniswap Decentralized Exchange, we use Metamask wallet

If you don’t have a Metamask wallet, read this article and follow the steps

What is Metamask wallet | How to Create a wallet and Use

Transfer $ETH to your new Metamask wallet from your existing wallet

Next step

Connect Metamask wallet to Uniswap Decentralized Exchange and Buy, Swap UFARM token

Contract: 0x40986a85b4cfcdb054a6cbfb1210194fee51af88

Read more: What is Uniswap | Beginner’s Guide on How to Use Uniswap

The top exchange for trading in UFARM token is currently Uniswap (V3), and Dfyn Network

Find more information UFARM

WebsiteExplorerExplorer 2Social ChannelSocial Channel 2DocumentationCoinmarketcap

🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.

🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner

⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!

☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐

Thank for visiting and reading this article! Please don’t forget to leave a like, comment and share!

#blockchain #bitcoin #ufarm #unifarm

What is GEEK

Buddha Community

What is UniFarm (UFARM) | What is UniFarm token | What is UFARM token

What is UniFarm (UFARM) | What is UniFarm token | What is UFARM token

In this article, we’ll discuss information about the UniFarm project and UFARM token

Our journey in Decentralized Finance began with the launch of OroPocket, at the stroke of midnight on 1st January 2020. Our vision was simple - empowering users to “own their money”.

Instead of parking their money with banks, users could keep them in assets (such as gold, silver, stocks, ETFs, real estate etc.) and spend it in real-time using a bunch of financial services such as an asset-backed debit card, instant loans, earning yield on assets etc.

This enabled the users to get 100% insurance on their “money” and the ability to beat inflation.

We received good traction for our product and soon decided to turn it into a completely decentralized offering with OpenDeFi Finance. The Open nature of OpenDeFi could enable adding various asset classes and empower developers to build financial services on it.

Unlike a bank, we’re open. Just plug and play.

Soon after the launch, we partnered with over 20 startups and reputed companies to expand and thus began the development journey of OpenDeFi and the launch of its governance token $ORO.

During this period, we realized that several startups are raising capital, and most of them raise capital to build products. While they’re building, there’s no real utility of the token, and hence the price kept falling. We decided to solve this problem for ORO.

We spoke with several partners and founders who were facing similar challenges. We got back to the whiteboard and started working on a solution. With a basic framework, we reached out to some of our close associates, and they were more than willing to experiment. This is how the first cohort of UniFarm was born with $ORO, $MATIC (now Polygon), $REEF, $CNTR and $FRONT.

We’re ever so grateful to them and their community for the overwhelming response and amazing feedback. Thus UniFarm was born.

With this whitepaper, we introduce UniFarm, an innovative farming solution.

UniFarm

UniFarm is an innovative farming solution where a bunch of projects come together to create a reward pool. Users can stake any one token and get multiple tokens as rewards.

For example, if there’s a UniFarm pool of $ORO, $MATIC, $REEF, $CNTR and $FRONT, you could stake any of these tokens and start earning all the tokens as rewards.‌

We guarantee a minimum APY, and there is absolutely no market exposure.‌

UniFarm is a win-win solution for all the parties involved—projects and investors alike.‌

The investors get to enjoy a good APY and get a bunch of reputed project tokens as rewards without any market exposure risks.‌

Projects get exposure to a new set of investors and get their tokens staked, giving them more room to build and grow.

Problem Statements

Faced by Startups and Investors

1. Token Price Fluctuation

While building a startup, the team has to worry about countless things, including building, marketing, finding product-market fit, hiring the right resources, testing, auditing, taxes, churn etc. Add to it the burden of token’s price falling, and everything turns to chaos.

The community narrative changes, people start FUDing etc. Startups have to deploy sizeable resources to control this and figure out ways to control further damage.

Solution: UniFarm creates a utility for the tokens. By creating a pool with UniFarm, startups enable a new utility for their tokens, which is that now it can be staked to earn a bunch of other tokens as rewards. Since tokens are now getting staked, they are removed from the trading supply giving startups breathing space to focus on other aspects.

2. Creating a Demand For the Token

Most of the activities that startups do, such as partnerships, marketing, PR, product releases, social media marketing etc., are geared towards creating demand for their offering and token. Since there are literally thousands of startups fighting for the same space, this can be an uphill battle.

Solution: UniFarm brings together an entire group of good startups to form a cohort. We do aggressive marketing of each TOKEN across various communities of the cohort, making sure each gets access to a newer set of investors. The gamification framework on UniFarm ensures that if few users are staking, the APY is very high (250% to 350%), encouraging investors to stake more tokens, thereby creating a demand for it. UniFarm also guarantees a minimum APY to ensure value creation for stakers.

3. Pump and Dump

Good Startups want to stay far away from any pump and dump schemes because they are in this for the long haul. Artificial price inflation has only a very short term benefit but can cause massive issues in the long run.

The easiest way to lose the trust of community and early backers is by getting even remotely associated with Pump-and-Dump schemes.

Solution: UniFarm‘s gamification framework is designed to encourage users to stake tokens and stay in the pool for a longer duration. The longer they stay in, the more rewards they earn. The framework also encourages new investors to join in the tokens, creating demand and ensuring a reduction in the number of tokens available for trading.

How it Works

UniFarm brings together a cohort of projects to create a reward pool. The token holders of any of those projects can stake their tokens to get all project tokens as rewards.

For example, let’s say there’s a cohort with the following projects: $ORO, $RAZOR, $PAID, $OM, $ROYA and $PLOT.

Users can stake any one token and get all as rewards.

If you’re staking $OM, then here is how the reward sequence will work:

Week 1: You’ll be earning $OM as rewards.

Week 2: You’ll be earning $OM and $ORO as rewards.

Week 3: You’ll be earning $OM, $ORO, $RAZOR as rewards.

Week 4: You’ll be earning $OM, $ORO, $RAZOR and $ROYA as rewards.

Week 5 onwards: You’ll be earning $OM, $ORO, $RAZOR, $ROYA and $PLOT as rewards.

We guarantee a minimum APY for each cohort, ensuring value creation for stakers. Here is a detailed article on how the APY is calculated: https://blog.oropocket.com/how-to-use-oropocket-platform/how-to-calculate-total-apy-in-unifarm/​

Tokenomics

Token Ticker: $UFARM

Total Supply: 1,000,000,000 $UFARM

Fundraise: 140,000,000 - 14%: Variable for different rounds. Details below

Liquidity for exchanges: 50,000,000 - 5%: Unlocked for Balancer/Exchange liquidity/IDO. Liquidity will be added at $0.04

Farming: 500,000,000 - 50%: UniFarm pool farming
Team: 100,000,000 - 10%: Cliff for 1 year, monthly unlock from 13-24 months
Advisors: 50,000,000 - 5%: Cliff for 6 months, daily linear unlocking from days 181-360
Marketing: 50,000,000 - 5%: Cliff for 3 months; Monthly unlocking from month 4-24
Company Reserve: 60,000,000 - 6%: Cliff for 6 months; Quarterly unlock over 6 quarters
Community: 50,000,000 - 5%: Variable for community. Details below

Use Cases

$UFARM Token Use Cases

1. Governance

$UFARM is the governance token for UniFarm platform. We’re working on converting it into an independent SaaS offering so developers and projects can build unique offerings for the different pools. All protocol-level changes shall be governed by voting using $UFARM tokens.

2. Staking

$UFARM token will be part of all major cohorts, enabling token holders to stake $UFARM tokens and earn a bunch of other high-quality project tokens at a good APY.

3. Premium Pools

UniFarm would be launching several premium pools and offering, which would be available to $UFARM token holders on a TIER structure.

4. Premium Offerings

UniFarm is collaborating with several platforms, launchpads, wallets and service providers to synergies with them for issuing tickets etc. This would be made available to $UFARM token holders on a TIER structure.

5. Add-ons Access

UniFarm is working on adding several add-ons (such as on-chain insurance, NFT farming etc.). These would be made available to $UFARM token holders for a TIER structure.

6. Paying Fees

As we move towards a SaaS model, all premium features would be accessible to developers and projects by paying fees in $UFARM token. Essentially, it would be the utility token for building on UniFarm.

Breathable Economy

Planning for Scale

For any economy to survive, there has to be contraction and expansion. Most of the world’s economies work on this principle, and hence they’re able to scale and last.

UniFarm works on a similar model.

Contraction: Buy Back & Lock

UniFarm charges fees from projects that join cohorts. 25% of this fee shall be used to buy back $UFARM tokens and lock them up on the chain for 12 months.

Not only will this ensure a steady contraction but also provide stability needed to scale.

After 12 months, the tokens shall move to the treasury. Unlike the traditional startup world, where there are Series A/B/C/D funding rounds available for scaling, we need to ensure that treasury is well-capitalized to effectively scale for a token economy. By locking up the tokens and then moving to treasury provides us with this capability.

Expansion: Farming

50% of the $UFARM tokens are reserved for farming. This is how $UFARM would be made available to various cohorts. This will ensure a steady supply of tokens over time.

The expanding economy will help us prevent any massive price movements or pumps-and-dumps.

How and Where to Buy UFARM token?

UFARM token is now live on the Ethereum mainnet. The token address for UFARM is 0x40986a85b4cfcdb054a6cbfb1210194fee51af88. Be cautious not to purchase any other token with a smart contract different from this one (as this can be easily faked). We strongly advise to be vigilant and stay safe throughout the launch. Don’t let the excitement get the best of you.

Just be sure you have enough ETH in your wallet to cover the transaction fees.

You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

SIGN UP ON BINANCE

Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)

Next step

You need a wallet address to Connect to Uniswap Decentralized Exchange, we use Metamask wallet

If you don’t have a Metamask wallet, read this article and follow the steps

What is Metamask wallet | How to Create a wallet and Use

Transfer $ETH to your new Metamask wallet from your existing wallet

Next step

Connect Metamask wallet to Uniswap Decentralized Exchange and Buy, Swap UFARM token

Contract: 0x40986a85b4cfcdb054a6cbfb1210194fee51af88

Read more: What is Uniswap | Beginner’s Guide on How to Use Uniswap

The top exchange for trading in UFARM token is currently Uniswap (V3), and Dfyn Network

Find more information UFARM

WebsiteExplorerExplorer 2Social ChannelSocial Channel 2DocumentationCoinmarketcap

🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.

🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner

⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!

☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐

Thank for visiting and reading this article! Please don’t forget to leave a like, comment and share!

#blockchain #bitcoin #ufarm #unifarm

Royce  Reinger

Royce Reinger

1658068560

WordsCounted: A Ruby Natural Language Processor

WordsCounted

We are all in the gutter, but some of us are looking at the stars.

-- Oscar Wilde

WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.

Features

  • Out of the box, get the following data from any string or readable file, or URL:
    • Token count and unique token count
    • Token densities, frequencies, and lengths
    • Char count and average chars per token
    • The longest tokens and their lengths
    • The most frequent tokens and their frequencies.
  • A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
  • Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
  • Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

Pass in a string or a file path, and an optional filter and/or regexp.

counter = WordsCounted.count(
  "We are all in the gutter, but some of us are looking at the stars."
)

# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")

.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.

API

WordsCounted

WordsCounted.count(input, options = {})

Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.count("Hello Beirut!")

Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.

WordsCounted.from_file(path, options = {})

Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.from_file("hello_beirut.txt")

Accepts the same options as .count.

Tokeniser

The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.

Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.

#tokenise([pattern: TOKEN_REGEXP, exclude: nil])

tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise

# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")

# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)

See Excluding tokens from the analyser and Passing in a custom regexp for more information.

Counter

The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.

counter.token_frequency

[
  ["the", 2],
  ["are", 2],
  ["we",  1],
  # ...
  ["all", 1]
]

#most_frequent_tokens

Returns a hash where each key-value pair is a token and its frequency.

counter.most_frequent_tokens

{ "are" => 2, "the" => 2 }

#token_lengths

Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.

counter.token_lengths

[
  ["looking", 7],
  ["gutter",  6],
  ["stars",   5],
  # ...
  ["in",      2]
]

#longest_tokens

Returns a hash where each key-value pair is a token and its length.

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.

counter.token_density

[
  ["are",     0.13],
  ["the",     0.13],
  ["but",     0.07 ],
  # ...
  ["we",      0.07 ]
]

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Are you using WordsCounted to do something interesting? Please tell me about it.

Gem Version 

RubyDoc documentation.

Demo

Visit this website for one example of what you can do with WordsCounted.


Contributors

See contributors.

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted 
License: MIT license

#ruby #nlp 

Words Counted: A Ruby Natural Language Processor.

WordsCounted

We are all in the gutter, but some of us are looking at the stars.

-- Oscar Wilde

WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.

Are you using WordsCounted to do something interesting? Please tell me about it.

 

Demo

Visit this website for one example of what you can do with WordsCounted.

Features

  • Out of the box, get the following data from any string or readable file, or URL:
    • Token count and unique token count
    • Token densities, frequencies, and lengths
    • Char count and average chars per token
    • The longest tokens and their lengths
    • The most frequent tokens and their frequencies.
  • A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
  • Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
  • Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

Pass in a string or a file path, and an optional filter and/or regexp.

counter = WordsCounted.count(
  "We are all in the gutter, but some of us are looking at the stars."
)

# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")

.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.

API

WordsCounted

WordsCounted.count(input, options = {})

Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.count("Hello Beirut!")

Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.

WordsCounted.from_file(path, options = {})

Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.from_file("hello_beirut.txt")

Accepts the same options as .count.

Tokeniser

The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.

Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.

#tokenise([pattern: TOKEN_REGEXP, exclude: nil])

tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise

# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")

# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)

See Excluding tokens from the analyser and Passing in a custom regexp for more information.

Counter

The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.

counter.token_frequency

[
  ["the", 2],
  ["are", 2],
  ["we",  1],
  # ...
  ["all", 1]
]

#most_frequent_tokens

Returns a hash where each key-value pair is a token and its frequency.

counter.most_frequent_tokens

{ "are" => 2, "the" => 2 }

#token_lengths

Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.

counter.token_lengths

[
  ["looking", 7],
  ["gutter",  6],
  ["stars",   5],
  # ...
  ["in",      2]
]

#longest_tokens

Returns a hash where each key-value pair is a token and its length.

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.

counter.token_density

[
  ["are",     0.13],
  ["the",     0.13],
  ["but",     0.07 ],
  # ...
  ["we",      0.07 ]
]

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Contributors

See contributors.

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license

#ruby  #ruby-on-rails 

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aaron silva

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