What is SuperLauncher (LAUNCH) | What is SuperLauncher token | What is LAUNCH token

In this article, we’ll discuss information about the SuperLauncher project and LAUNCH token

SuperLauncher empowers projects on Binance Smart Chain to raise capital with best-in-class features and gives investors access to quality projects in a safe, trusted and decentralized manner. SuperLauncher helps projects conducts token sales, automated listings, and liquidity locks on the Binance Smart Chain. The project will soon be available on Ethereum and Cardano.

The SuperLauncher Team consists of like-minded entrepreneurs with years of crypto experience between them. The project has been audited by Solidity Finance and is protected by 3/4 Multi-Sig, Team Vesting and Locked Liquidity. The team chooses to remain anonymous in the spirit of DEFI, but all codes are open-source for full transparency.

Features:

Step 1: Campaign Creation
Step 2: Project funds in Tokens for sale
Step 3: Raise Capital in BNB
Step 4: Automated Listing on Pancake Swap
Step 5: Automated Liquidity Locks of 0–100%, for specified duration

Features -Set Whitelists -Set ‘Softcaps’ and ‘Hardcaps’ -Set ‘Min’ and ‘Max’ subscription amount -Allow whitelisted and/or public campaigns -Cancel and refund an unsuccessful campaign -Track user purchase through smart contract events

Token Sale

Background: SuperLauncher has not conducted any token sale to date. Token Sale: The token sale will be split between ‘Strategic’, ‘Armada’ and ‘Rocket’ rounds. ‘Strategic’ round is by invitation only and ‘Armada’ sale is available through an exclusive whitelist. The sales will run side by side. In the event the ‘Armada’ sale does not fill up, the ‘Rocket’ sale will happen immediately after.

Total Allocation: 1302 BNB

Soft-Cap: 651 BNB (funds returned if soft-cap is not hit)

Strategic Sale (Invite-Only)

Date/Time: 10 April 2021, 14:00 UTC
Duration: 1 hour
Allocation: 150 BNB
Subscription Amount: 5 BNB Sale
Price: 1BNB ≈ 2304.147465
LAUNCH Tokens Received: 11520.73733 LAUNCH

Armada Sale (Whitelist, FCFS)

Date/Time: 10 April 2021, 14:00 UTC
Duration: 1 hour Allocation: 1152 BNB
Subscription Amount: 3 BNB
Sale Price: 1BNB ≈ 2304.147465
LAUNCH Tokens Received: 6912.442396 LAUNCH

Rocket Sale (Public, FCFS)

Date/Time: Immediate after ‘Armada’ Duration: 1 hour
Allocation: Unknown
Subscription Amount: 0.1 BNB
Sale Price: 1BNB ≈ 2304.147465
LAUNCH Tokens Received: 230.4147465 LAUNCH

Listing Info

Date/Time: Immediately after sale
Venue: PancakeSwap
Price: 1BNB ≈ 2304.147465 LAUNCH
Locked Liquidity = 434 BNB

Token Utility and Tiers

LAUNCH is the utility token of SuperLauncher. Future token sales held on SuperLauncher will be split into ‘Strategic’, ‘Armada’, and ‘Rocket’ rounds. To participate in these rounds, requirements are as follows:

Strategic Tier: 10,000 LAUNCH
Armada Tier: 6,000 LAUNCH
Rocket Tier: 100 LAUNCH

The tiers are designed to incentivize ‘Strategic’ and ‘Armada’ participants to HODL their LAUNCH tokens to participate in future sales, which will grant them private and larger allocations. The Rocket Tier allows a large number of participants to participate in future sales, hence removing the barriers to entry and facilitating mass adoption of SuperLauncher.

Token Allocation Total Supply: 12,000,000 Reserves: 6,000,000 (Set aside for partnerships, liquidity mining and cross-chain pegs) Private-Sale: 3,000,000 (Allocated to ‘Strategic’ and ‘Armada’ rounds) Team: 2,000,000 (Vesting 50k immed, 500k in 30 days, 700k in 150 days, 750k in 270 days) Liquidity: 1,000,000 (Paired against 434 BNB Locked for 6 months)

Whitelist Process:

SuperLauncher has partnered with CryptoMoonShots for exclusive whitelisting. To gain access to the whitelist, users need to follow the following instructions.

(1) Acquire a minimum of 1,250 CMS tokens from Uniswap. Official Contract Address: 0x83524f1df56629fec3805299846ac39b00bc6092

(2) Follow this link to verify your $CMS holdings to get access to the Armada Channel

(3) Follow instructions in the Armada to participate in the whitelist. Etherscan:

https://etherscan.io/address/0x83524f1df56629fec3805299846ac39b00bc6092

Uniswap:  https://info.uniswap.org/pair/0x83524f1df56629fec3805299846ac39b00bc6092

Important Note: $CMS is a subscription token that provides access to the Armada, which is SuperLauncher’s official marketing partner. Armada members get exclusive access to whitelisting.

How and Where to Buy SuperLauncher (LAUNCH)?

LAUNCH token is now live on the Binance mainnet. The token address for LAUNCH is 0xb5389a679151c4b8621b1098c6e0961a3cfee8d4. 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

Next step

Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy LAUNCH token

Contract: 0xb5389a679151c4b8621b1098c6e0961a3cfee8d4

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 LAUNCH 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 LAUNCH

WebsiteExplorerSource CodeSocial 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 ⭐ ⭐ ⭐

I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!

#blockchain #bitcoin #launch #superlauncher

What is GEEK

Buddha Community

What is SuperLauncher (LAUNCH) | What is SuperLauncher token | What is LAUNCH token

What is SuperLauncher (LAUNCH) | What is SuperLauncher token | What is LAUNCH token

In this article, we’ll discuss information about the SuperLauncher project and LAUNCH token

SuperLauncher empowers projects on Binance Smart Chain to raise capital with best-in-class features and gives investors access to quality projects in a safe, trusted and decentralized manner. SuperLauncher helps projects conducts token sales, automated listings, and liquidity locks on the Binance Smart Chain. The project will soon be available on Ethereum and Cardano.

The SuperLauncher Team consists of like-minded entrepreneurs with years of crypto experience between them. The project has been audited by Solidity Finance and is protected by 3/4 Multi-Sig, Team Vesting and Locked Liquidity. The team chooses to remain anonymous in the spirit of DEFI, but all codes are open-source for full transparency.

Features:

Step 1: Campaign Creation
Step 2: Project funds in Tokens for sale
Step 3: Raise Capital in BNB
Step 4: Automated Listing on Pancake Swap
Step 5: Automated Liquidity Locks of 0–100%, for specified duration

Features -Set Whitelists -Set ‘Softcaps’ and ‘Hardcaps’ -Set ‘Min’ and ‘Max’ subscription amount -Allow whitelisted and/or public campaigns -Cancel and refund an unsuccessful campaign -Track user purchase through smart contract events

Token Sale

Background: SuperLauncher has not conducted any token sale to date. Token Sale: The token sale will be split between ‘Strategic’, ‘Armada’ and ‘Rocket’ rounds. ‘Strategic’ round is by invitation only and ‘Armada’ sale is available through an exclusive whitelist. The sales will run side by side. In the event the ‘Armada’ sale does not fill up, the ‘Rocket’ sale will happen immediately after.

Total Allocation: 1302 BNB

Soft-Cap: 651 BNB (funds returned if soft-cap is not hit)

Strategic Sale (Invite-Only)

Date/Time: 10 April 2021, 14:00 UTC
Duration: 1 hour
Allocation: 150 BNB
Subscription Amount: 5 BNB Sale
Price: 1BNB ≈ 2304.147465
LAUNCH Tokens Received: 11520.73733 LAUNCH

Armada Sale (Whitelist, FCFS)

Date/Time: 10 April 2021, 14:00 UTC
Duration: 1 hour Allocation: 1152 BNB
Subscription Amount: 3 BNB
Sale Price: 1BNB ≈ 2304.147465
LAUNCH Tokens Received: 6912.442396 LAUNCH

Rocket Sale (Public, FCFS)

Date/Time: Immediate after ‘Armada’ Duration: 1 hour
Allocation: Unknown
Subscription Amount: 0.1 BNB
Sale Price: 1BNB ≈ 2304.147465
LAUNCH Tokens Received: 230.4147465 LAUNCH

Listing Info

Date/Time: Immediately after sale
Venue: PancakeSwap
Price: 1BNB ≈ 2304.147465 LAUNCH
Locked Liquidity = 434 BNB

Token Utility and Tiers

LAUNCH is the utility token of SuperLauncher. Future token sales held on SuperLauncher will be split into ‘Strategic’, ‘Armada’, and ‘Rocket’ rounds. To participate in these rounds, requirements are as follows:

Strategic Tier: 10,000 LAUNCH
Armada Tier: 6,000 LAUNCH
Rocket Tier: 100 LAUNCH

The tiers are designed to incentivize ‘Strategic’ and ‘Armada’ participants to HODL their LAUNCH tokens to participate in future sales, which will grant them private and larger allocations. The Rocket Tier allows a large number of participants to participate in future sales, hence removing the barriers to entry and facilitating mass adoption of SuperLauncher.

Token Allocation Total Supply: 12,000,000 Reserves: 6,000,000 (Set aside for partnerships, liquidity mining and cross-chain pegs) Private-Sale: 3,000,000 (Allocated to ‘Strategic’ and ‘Armada’ rounds) Team: 2,000,000 (Vesting 50k immed, 500k in 30 days, 700k in 150 days, 750k in 270 days) Liquidity: 1,000,000 (Paired against 434 BNB Locked for 6 months)

Whitelist Process:

SuperLauncher has partnered with CryptoMoonShots for exclusive whitelisting. To gain access to the whitelist, users need to follow the following instructions.

(1) Acquire a minimum of 1,250 CMS tokens from Uniswap. Official Contract Address: 0x83524f1df56629fec3805299846ac39b00bc6092

(2) Follow this link to verify your $CMS holdings to get access to the Armada Channel

(3) Follow instructions in the Armada to participate in the whitelist. Etherscan:

https://etherscan.io/address/0x83524f1df56629fec3805299846ac39b00bc6092

Uniswap:  https://info.uniswap.org/pair/0x83524f1df56629fec3805299846ac39b00bc6092

Important Note: $CMS is a subscription token that provides access to the Armada, which is SuperLauncher’s official marketing partner. Armada members get exclusive access to whitelisting.

How and Where to Buy SuperLauncher (LAUNCH)?

LAUNCH token is now live on the Binance mainnet. The token address for LAUNCH is 0xb5389a679151c4b8621b1098c6e0961a3cfee8d4. 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

Next step

Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy LAUNCH token

Contract: 0xb5389a679151c4b8621b1098c6e0961a3cfee8d4

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 LAUNCH 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 LAUNCH

WebsiteExplorerSource CodeSocial 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 ⭐ ⭐ ⭐

I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!

#blockchain #bitcoin #launch #superlauncher

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 

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 

James Donald

James Donald

1618488735

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aaron silva

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