Coin Introduction

Coin Introduction

1620196838

What is Vulkania (VLK) | What is Vulkania token | What is VLK token

In this article, we’ll discuss information about the Vulkania project and VLK token

Vulkania app allows you to create a fully functional blockchain dashboard for a specific token. We call it DAAS (Dashboard As A Service). Dashboards come with a set of tools and can be fully personalized. In the end, every token will have a unique website with aggregated data coming from a lot of sources, including decentralized (blockchain) and centralized data (APIs). Dashboard creation is available for crypto founders or their community. What we are building offers the following advantages for both:

  • Token visibility
  • Community engagement
  • Data tracking
  • Time saving (zero development)
  • Easy to set up (two clics)

Features

Our goal is to work on a product’s first version which will include the following features. Of course, as we are working with Agile method, features will evolve in order to create a product that fits with needs.

Multiple blockchain

APIs Support of major blockchains (ERC20, BEP2, BEP20…) to cover the maximum existing tokens. Usage of blockchain explorers (EtherScan, BscScan…).

Token metrics & charts

Market cap, price, volume, supply, holders (top holders ranking and diff), transactions, burns, exchanges, markets.

Token description

Token name, blockchain type, logo, description, links (website, whitepaper…), social profiles.

Fully customizable

DAAS will have its own back office which gives a lot of customization features inclluding

• Templating (themes, layout disposition)

• Cross data charts

• Customs links

• Wallets tracking (add tags on specific wallets: company reserve, advisors, burns…)

Payment gateway

Our goal is to support multiple payment methods like stablecoins (USDT, BUSD) and some top coins (BTC, ETH, BNB). VLK will also be available as a payment method to increase its utility.

Premium dasbhoards

By default, users can create and configure one private dashboard with their account only visible to themeselves. To make it public they have to convert their account to Premium by the payment gateway.

Dashboards based on Blockchains data

9000+ cryptos have already been created

Vulkania wants to allow crypto communities to create and configure blockchain dashboards in an easy way.

  • Support of multiple Blockchains (BSC, ETH, DOT…)
  • Using multiple APIs / Gateways
  • Specialized development
  • Fully customizable
  • Token utility
  • Burns

VLK TOKEN

VLK is an ultra scarce reflect token running on Binance Smart Chain (BEP20). VLK total supply is 40,000,000 VLK. No more tokens can be issued. VLK is the heart of Vulkania ecosystem and benefits holders.

Token name:VLK

Total supply: 40,000,000 VLK

Liquidity: 18,000,000 VLK (45%)

Blockchain: BSC (Binance Smart Chain)

Giveaway: 2,000,000 VLK (5%)

Contract address: 0x0921d788e7f7498f80adb0a0a62b8a9476f2db92

JOIN & BUY TOKEN

Designed for holders

The VLK smart contract applies a 6% fee (5 + 1 %) to each transaction and instantly splits those fees among all holders of the token. Fees are awarded by the smart contract and are immediately available in the holders balance.

Interesting ROI

5% fees go to holders of the token. The percentage of fees you earn is calculated by the percentage of VLK that you own among holders.

We want to reward true holders that’s why we designed this system.

Burn & Scarcity

1% fees are instantly burnt. This reduces the circulating supply and ensures the Vulkania token will become an ultra scarce token.

Progressive Burn

20% (8,000,000 VLK) of total supply is in a reserve for additional burns. Every quarter, 50% of total burnt fees will be burnt to increase scarcity of the VLK token.

Token allocation

Liquidity

45% of total supply will be affected into PancakeSwap liquidity at launch.

Burn

A total of 20% (8,000,000 VLK) of total supply will be burnt, reducing total supply. Every quarter, 50% of total burnt fees will be burnt to increase scarcity of the VLK token.

Project funds

The 15% project funds can be used anytime for marketing operations or for development purposes (Exchanges, listings…). Team

The 10% allocated for the team will be locked during 1 year.

Advisors

Advisors will receive 5% of total supply.

Advisors will help the Vulkania team to achieve their goals by providing experiences and contacts.

Giveaway

5% of the VLK total supply will be allocated for token distribution via 3 giveaways and 1 trading competition, as follows:

• 2% giveaway round 1 (800,000 VLK)
• 1% giveaway round 2 (400,000 VLK)
• 0.5% giveaway round 3 (200,000 VLK)
• 1.5% trading competition (600,000 VLK)

How and Where to Buy Vulkania (VLK) ?

VLK token is now live on the Binance mainnet. The token address for VLK is 0x0921d788e7f7498f80adb0a0a62b8a9476f2db92. 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 BNB 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 Pancakeswap 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 $WBNB to your new Metamask wallet from your existing wallet

Next step

Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy, Swap VLK token

Contract: 0x0921d788e7f7498f80adb0a0a62b8a9476f2db92

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

There are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once VLK gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!

Top exchanges for token-coin trading. Follow instructions and make unlimited money

☞ https://www.binance.com
 ☞ https://www.bittrex.com
  ☞ https://www.poloniex.com
  ☞ https://www.bitfinex.com
  ☞ https://www.huobi.com

Find more information VLK

☞ Website ☞ Announcement ☞ Explorer ☞ Social Channel ☞ Social Channel 2 ☞ Social Channel 3 ☞ Coinmarketcap

🔺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 ⭐ ⭐ ⭐

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

#blockchain #bitcoin #vlk #vulkania

What is GEEK

Buddha Community

What is Vulkania (VLK) | What is Vulkania token | What is VLK token
Coin Introduction

Coin Introduction

1620196838

What is Vulkania (VLK) | What is Vulkania token | What is VLK token

In this article, we’ll discuss information about the Vulkania project and VLK token

Vulkania app allows you to create a fully functional blockchain dashboard for a specific token. We call it DAAS (Dashboard As A Service). Dashboards come with a set of tools and can be fully personalized. In the end, every token will have a unique website with aggregated data coming from a lot of sources, including decentralized (blockchain) and centralized data (APIs). Dashboard creation is available for crypto founders or their community. What we are building offers the following advantages for both:

  • Token visibility
  • Community engagement
  • Data tracking
  • Time saving (zero development)
  • Easy to set up (two clics)

Features

Our goal is to work on a product’s first version which will include the following features. Of course, as we are working with Agile method, features will evolve in order to create a product that fits with needs.

Multiple blockchain

APIs Support of major blockchains (ERC20, BEP2, BEP20…) to cover the maximum existing tokens. Usage of blockchain explorers (EtherScan, BscScan…).

Token metrics & charts

Market cap, price, volume, supply, holders (top holders ranking and diff), transactions, burns, exchanges, markets.

Token description

Token name, blockchain type, logo, description, links (website, whitepaper…), social profiles.

Fully customizable

DAAS will have its own back office which gives a lot of customization features inclluding

• Templating (themes, layout disposition)

• Cross data charts

• Customs links

• Wallets tracking (add tags on specific wallets: company reserve, advisors, burns…)

Payment gateway

Our goal is to support multiple payment methods like stablecoins (USDT, BUSD) and some top coins (BTC, ETH, BNB). VLK will also be available as a payment method to increase its utility.

Premium dasbhoards

By default, users can create and configure one private dashboard with their account only visible to themeselves. To make it public they have to convert their account to Premium by the payment gateway.

Dashboards based on Blockchains data

9000+ cryptos have already been created

Vulkania wants to allow crypto communities to create and configure blockchain dashboards in an easy way.

  • Support of multiple Blockchains (BSC, ETH, DOT…)
  • Using multiple APIs / Gateways
  • Specialized development
  • Fully customizable
  • Token utility
  • Burns

VLK TOKEN

VLK is an ultra scarce reflect token running on Binance Smart Chain (BEP20). VLK total supply is 40,000,000 VLK. No more tokens can be issued. VLK is the heart of Vulkania ecosystem and benefits holders.

Token name:VLK

Total supply: 40,000,000 VLK

Liquidity: 18,000,000 VLK (45%)

Blockchain: BSC (Binance Smart Chain)

Giveaway: 2,000,000 VLK (5%)

Contract address: 0x0921d788e7f7498f80adb0a0a62b8a9476f2db92

JOIN & BUY TOKEN

Designed for holders

The VLK smart contract applies a 6% fee (5 + 1 %) to each transaction and instantly splits those fees among all holders of the token. Fees are awarded by the smart contract and are immediately available in the holders balance.

Interesting ROI

5% fees go to holders of the token. The percentage of fees you earn is calculated by the percentage of VLK that you own among holders.

We want to reward true holders that’s why we designed this system.

Burn & Scarcity

1% fees are instantly burnt. This reduces the circulating supply and ensures the Vulkania token will become an ultra scarce token.

Progressive Burn

20% (8,000,000 VLK) of total supply is in a reserve for additional burns. Every quarter, 50% of total burnt fees will be burnt to increase scarcity of the VLK token.

Token allocation

Liquidity

45% of total supply will be affected into PancakeSwap liquidity at launch.

Burn

A total of 20% (8,000,000 VLK) of total supply will be burnt, reducing total supply. Every quarter, 50% of total burnt fees will be burnt to increase scarcity of the VLK token.

Project funds

The 15% project funds can be used anytime for marketing operations or for development purposes (Exchanges, listings…). Team

The 10% allocated for the team will be locked during 1 year.

Advisors

Advisors will receive 5% of total supply.

Advisors will help the Vulkania team to achieve their goals by providing experiences and contacts.

Giveaway

5% of the VLK total supply will be allocated for token distribution via 3 giveaways and 1 trading competition, as follows:

• 2% giveaway round 1 (800,000 VLK)
• 1% giveaway round 2 (400,000 VLK)
• 0.5% giveaway round 3 (200,000 VLK)
• 1.5% trading competition (600,000 VLK)

How and Where to Buy Vulkania (VLK) ?

VLK token is now live on the Binance mainnet. The token address for VLK is 0x0921d788e7f7498f80adb0a0a62b8a9476f2db92. 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 BNB 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 Pancakeswap 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 $WBNB to your new Metamask wallet from your existing wallet

Next step

Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy, Swap VLK token

Contract: 0x0921d788e7f7498f80adb0a0a62b8a9476f2db92

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

There are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once VLK gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!

Top exchanges for token-coin trading. Follow instructions and make unlimited money

☞ https://www.binance.com
 ☞ https://www.bittrex.com
  ☞ https://www.poloniex.com
  ☞ https://www.bitfinex.com
  ☞ https://www.huobi.com

Find more information VLK

☞ Website ☞ Announcement ☞ Explorer ☞ Social Channel ☞ Social Channel 2 ☞ Social Channel 3 ☞ Coinmarketcap

🔺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 ⭐ ⭐ ⭐

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

#blockchain #bitcoin #vlk #vulkania

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 

Mohammed Richards

Mohammed Richards

1659601560

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 

aaron silva

aaron silva

1622197808

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