What is Lexit (LEXI) | What is Lexit token | What is LEXI token

In this article, we’ll discuss information about the Lexit project and LEXI token

What is Lexit (LEXI)?

LEXIT is a full service #NFT & DeFi platform that tokenizes, launches and enables trading of intellectual property rights from Arts and Inventions. The platform will allow anyone who owns the copyrights to art, movies, TV Shows, characters, patents and technical inventions or Collectibles to mint and launch NFTs and have these immediately in liquidity on the integrated LEXIT DeFi Pools.

LEXIT brings NFTs to DeFi by offering a decentralized finance platform where users can submit their intellectual property and mint tokenized NFT versions of their artwork, music, etc. These NFTs will then be launched through the LEXIT NFT Launchpad to the general public.

LEXIT DeFi Pools

The LEXIT DeFi Pools are a natural extension of our NFT Launchpad. Instead of using MULTIPLE services & platforms, we thought it would be AWESOME that our users can do EVERYTHING on a single platform. So we did JUST THAT!

Our DeFi Pools can be opened up by any LEXIT user. All you have to do is just stake SOME liquidity yourself. The DeFi Pools will feature FLEXIBLE asset pairs and be open to other projects who are in need of liquidity and want to benefit from the LEXi Coins´ performance.

LEXNET DeFi Protocol

LEXIT is built upon our OWN Protocol, the LEXNET. The LEXNET Blockchain is a highly performant EVM (Ethereum & Forks of it) compatible novel protocol. It features smart contracts and a dynamic validator pooling among other innovative hallmarks. The LEXNET prototype projects a hashrate of 32,000 TPS (transactions per Second) with further scalability at future demand.

Newly minted NFTs will be promoted as an initial NFT offering through LEXIT’s NFT Launchpad. The NFTs will then be available for direct purchase or added by LEXIT pool Managers to various DeFi pools on the platform.

Anyone owning intellectual property rights (IPR) to their artwork, music, film/videos, inventions, etc. may submit a listing for approval on the platform free of charge. If approved, the IPR enters the NFT Launchpad as an NFT client.

The NFT offering will be available on the NFT client’s scheduled launch day to pre-subscribed LEXIT platform users who must perform social media tasks on behalf of the NFT client to increase the popularity of the offering.

The NFT then becomes available for direct purchase on the NFT Launchpad to then be available on the LEXIt DeFi Liquidity Pools, which are curated portfolios of various NFTs available on LEXIT. Pools are managed by pool managers and are open to everyone to join.

LEXIT pools allow users to participate in potential high yield token pools. Anyone can become a pool manager and create a LEXIT DeFi Pool. Pool managers define the total liquidity and choose a variety of NFTs from the LEXIT marketplace. The pool manager must stake 5% of the pool liquidity to add “skin in the game.” Liquidity can be provided with popular tokens such as BTC, ETH, BNB and the LEXi coin among others trading pairs.

LEXIT will also be coming out with its own Protocol, which we are currently far in development with & will call it the LEXNET. The LEXNET is a high performance Blockchain, which is fully compatible with Ethereum and the Binance Smart Chain Protocols. First tests predict a Hash-Rate of at least 32000 TPS and further scalability.

LEXi is the native utility token that is used for:

LEXi is a utility token that is used for participation on LEXIT NFT Launchpad, LEXIT DeFi liquidity pool and in the LEXi Coin Community Staking .

LEXi components include:

  • An NFT launchpad allowing users to tokenize and showcase their Intellectual Property as NFTs
  • LEXNET - an Ethereum-capable Protocol, with capacity far higher than stock Ethereum blockchain technology

Who Are the Founders of LEXIT?

LEXIT was founded by Amir Kaltak (Founder, CEO), Katia Zaitsev (Co-Founder, CBO) and Frederik Prins (Co-Founder, COO). LEXIT started as a project back in 2016 where Amir was trying to monetize on his IPR from tech he created to fund a new idea. He then immediately realized that there is no such place where he can do that, that was when the idea of LEXIT was born.

He instantly thought - what if it were possible to tokenize IPR and make it widely available via a Blockchain ? The idea grew & evolved into the next logical step - a protocol that had the needed performance and flexibility, our LEXNET is the result. Now all that was great but it would be even better if our user could easily access liquidity and so Ferhat (CTO), Frederik and Katia worked hard to figure out how it could be possible, the LEXIT DeFi Liquidity Pools were born. This is us, an powerful NFT Launchpad with integrated DeFi Liquidity on a novel LEXNET Protocol.

Amir is a serial entrepreneur with 25+ years of experience who began coding at 7 years old. Katia specializes in Business development, Growth in Revenue, Corporate partnerships - with vast experience in growing revenue & developing businesses across various industries. Fredrik is in charge of Operations with vast experience in Banking & executive recruiting. While Ferhat, our CTO is a full-stack crypto Developer who began Bitcoin mining in Europe. One of the first.

How and Where to Buy LEXI token?

LEXI token is now live on the Binance mainnet. The token address for LEXI is 0x41a95f152e50fffd7184d9388956a2d0b8756ba9. 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.

Join To Get BNB (Binance Coin)! ☞ CLICK HERE

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 $BNB to your new Metamask wallet from your existing wallet

Next step

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

Contract: 0x41a95f152e50fffd7184d9388956a2d0b8756ba9

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

The top exchange for trading in LEXI token is currently BitMart, PancakeSwap (V2), and Bilaxy

Find more information LEXI

WebsiteExplorerWhitepaperSocial ChannelSocial Channel 2Social Channel 3Message BoardCoinmarketcap

🔺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-----**⭐ ⭐ ⭐

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

#blockchain #bitcoin #lexi #lexit

What is GEEK

Buddha Community

What is Lexit (LEXI) | What is Lexit token | What is LEXI token

What is Lexit (LEXI) | What is Lexit token | What is LEXI token

In this article, we’ll discuss information about the Lexit project and LEXI token

What is Lexit (LEXI)?

LEXIT is a full service #NFT & DeFi platform that tokenizes, launches and enables trading of intellectual property rights from Arts and Inventions. The platform will allow anyone who owns the copyrights to art, movies, TV Shows, characters, patents and technical inventions or Collectibles to mint and launch NFTs and have these immediately in liquidity on the integrated LEXIT DeFi Pools.

LEXIT brings NFTs to DeFi by offering a decentralized finance platform where users can submit their intellectual property and mint tokenized NFT versions of their artwork, music, etc. These NFTs will then be launched through the LEXIT NFT Launchpad to the general public.

LEXIT DeFi Pools

The LEXIT DeFi Pools are a natural extension of our NFT Launchpad. Instead of using MULTIPLE services & platforms, we thought it would be AWESOME that our users can do EVERYTHING on a single platform. So we did JUST THAT!

Our DeFi Pools can be opened up by any LEXIT user. All you have to do is just stake SOME liquidity yourself. The DeFi Pools will feature FLEXIBLE asset pairs and be open to other projects who are in need of liquidity and want to benefit from the LEXi Coins´ performance.

LEXNET DeFi Protocol

LEXIT is built upon our OWN Protocol, the LEXNET. The LEXNET Blockchain is a highly performant EVM (Ethereum & Forks of it) compatible novel protocol. It features smart contracts and a dynamic validator pooling among other innovative hallmarks. The LEXNET prototype projects a hashrate of 32,000 TPS (transactions per Second) with further scalability at future demand.

Newly minted NFTs will be promoted as an initial NFT offering through LEXIT’s NFT Launchpad. The NFTs will then be available for direct purchase or added by LEXIT pool Managers to various DeFi pools on the platform.

Anyone owning intellectual property rights (IPR) to their artwork, music, film/videos, inventions, etc. may submit a listing for approval on the platform free of charge. If approved, the IPR enters the NFT Launchpad as an NFT client.

The NFT offering will be available on the NFT client’s scheduled launch day to pre-subscribed LEXIT platform users who must perform social media tasks on behalf of the NFT client to increase the popularity of the offering.

The NFT then becomes available for direct purchase on the NFT Launchpad to then be available on the LEXIt DeFi Liquidity Pools, which are curated portfolios of various NFTs available on LEXIT. Pools are managed by pool managers and are open to everyone to join.

LEXIT pools allow users to participate in potential high yield token pools. Anyone can become a pool manager and create a LEXIT DeFi Pool. Pool managers define the total liquidity and choose a variety of NFTs from the LEXIT marketplace. The pool manager must stake 5% of the pool liquidity to add “skin in the game.” Liquidity can be provided with popular tokens such as BTC, ETH, BNB and the LEXi coin among others trading pairs.

LEXIT will also be coming out with its own Protocol, which we are currently far in development with & will call it the LEXNET. The LEXNET is a high performance Blockchain, which is fully compatible with Ethereum and the Binance Smart Chain Protocols. First tests predict a Hash-Rate of at least 32000 TPS and further scalability.

LEXi is the native utility token that is used for:

LEXi is a utility token that is used for participation on LEXIT NFT Launchpad, LEXIT DeFi liquidity pool and in the LEXi Coin Community Staking .

LEXi components include:

  • An NFT launchpad allowing users to tokenize and showcase their Intellectual Property as NFTs
  • LEXNET - an Ethereum-capable Protocol, with capacity far higher than stock Ethereum blockchain technology

Who Are the Founders of LEXIT?

LEXIT was founded by Amir Kaltak (Founder, CEO), Katia Zaitsev (Co-Founder, CBO) and Frederik Prins (Co-Founder, COO). LEXIT started as a project back in 2016 where Amir was trying to monetize on his IPR from tech he created to fund a new idea. He then immediately realized that there is no such place where he can do that, that was when the idea of LEXIT was born.

He instantly thought - what if it were possible to tokenize IPR and make it widely available via a Blockchain ? The idea grew & evolved into the next logical step - a protocol that had the needed performance and flexibility, our LEXNET is the result. Now all that was great but it would be even better if our user could easily access liquidity and so Ferhat (CTO), Frederik and Katia worked hard to figure out how it could be possible, the LEXIT DeFi Liquidity Pools were born. This is us, an powerful NFT Launchpad with integrated DeFi Liquidity on a novel LEXNET Protocol.

Amir is a serial entrepreneur with 25+ years of experience who began coding at 7 years old. Katia specializes in Business development, Growth in Revenue, Corporate partnerships - with vast experience in growing revenue & developing businesses across various industries. Fredrik is in charge of Operations with vast experience in Banking & executive recruiting. While Ferhat, our CTO is a full-stack crypto Developer who began Bitcoin mining in Europe. One of the first.

How and Where to Buy LEXI token?

LEXI token is now live on the Binance mainnet. The token address for LEXI is 0x41a95f152e50fffd7184d9388956a2d0b8756ba9. 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.

Join To Get BNB (Binance Coin)! ☞ CLICK HERE

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 $BNB to your new Metamask wallet from your existing wallet

Next step

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

Contract: 0x41a95f152e50fffd7184d9388956a2d0b8756ba9

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

The top exchange for trading in LEXI token is currently BitMart, PancakeSwap (V2), and Bilaxy

Find more information LEXI

WebsiteExplorerWhitepaperSocial ChannelSocial Channel 2Social Channel 3Message BoardCoinmarketcap

🔺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-----**⭐ ⭐ ⭐

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

#blockchain #bitcoin #lexi #lexit

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 

aaron silva

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1622197808

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