What is Vancattoken (VANCAT) | What is VANCAT token

In this article, we’ll discuss information about the Vancattoken project and VANCAT token

VanCatToken allows users to easily deposit BEP-20 tokens (ANY tokens) into an NFT. A scarce NFT (e.g. Art, Collectible, Virtual Real Estate, In-Game Item, etc.) can now be transformed into a basket holding a number of other tokens. VanCatToken platform is a new protocol layer, enabling a new world of NFTs. For our public launch, we’ll also be releasing the first decentralized application (DApp) on top of the VanCatToken Protocol, focused on Art/Collectible NFTs.

Van cats are a distinctive landrace of the domestic cat found in the Lake Van region of eastern Turkey. They are relatively large, have a chalky white coat, sometimes with ruddy coloration on the head and hindquarters, and have blue or amber eyes or have heterochromia (having one eye of each colour). It’s thought there are around 250,000 Van Cats in existence.

NFT’s (non fungible tokens) are a special type of cryptographic token which represents something unique; non-fungible tokens are thus not mutually interchangeable. We choose Van Cats for our platform because they are unique as NFTs.

VANCAT Token Fertilization Explained

Introducing a new and funky way of minting NFTs based on biology theory of reproduction; “VanCat Fertilization”.

To perform fertilization, a user must have both VANCAT Sperm Token (VCSPERM) and VANCAT Egg Token (VCEGG).

When the user wants to mint special NFT, the user must have at least 10 Million VANCAT Sperm Token (VCSPERM) and 1 VANCAT Egg Token (VCEGG). We take this idea in real life of cats. One cat ejaculates approximately 10 Million sperm cells with one ejaculation:

After EE, semen volumes ranged from 0.019–0.284 ml (mean 0.076) and spermatozoa counts of ejaculates collected in the catheter ranged from 0.32–49.60 x 106 (mean 11.64 x 106). Some animals show retrograde ejaculation after electrical stimulation.

When the user wants to mint special NFT, our NFT Minting Station (DApp) checks for previous transactions based on user’s wallet address. If the user did not perform an “ejaculation” call with VANCAT Sperm Token (VCSPERM) before, the DApp asks to user for it. User must have at least 10 Million VCSPERM because the ejaculation function costs 10 Million VANCAT Sperm Token (VCSPERM) like in real life.

After that, user must also have at least 1 VANCAT Egg Token (VCEGG) to mint a special NFT. The process is same as VCSPERM. But this time the DApp asks to user for calling “ovulation” function. The ovulation function is available on VANCAT Egg Token only. When ovulation function transaction is completed, the user is ready to mint a special NFT.

What have we done so far?

Like in real life, we ejaculated 10 Million VCSPERM and ovulated 1 VCEGG. So they should be combined now.

Our NFT Minting Station DApp can generate images from these transaction hashes with using Artificial Intelligence (A.I.). You can think these hashes as genes and when they combined, they builds the DNA code for the special NFTs.

VANCAT Token Roadmap

Hello again VANCAT lovers. As you know we have published our roadmap. But we did not explain it with details. We’re working hard and growing up fast. VANCAT Token team aims to bring a new perspective to the NFT world. 😺

VANCAT Token Roadmap

Q1–2021

Main idea of the project was discussed with the team and the team researched how can the idea could be possible.

In crypto world we see many projects that are duplicates of each other everyday. So we had to be different from them and bring a new perspective to the NFT world. This was our motto. ✌️

Q2–2021

What we did and What we will do

We have prepared everything what we need as we discussed.

A visual artist designed our logo, website and images.

We created communication channels: Telegram, Twitter, Reddit, Instagram, Medium.

VANCAT Token smart contract code has been deployed on Binance Smart Chain. We chose Binance Smart Chain (BSC) because of its low fees and speed advantages. ✌️

VANCAT Sperm Token — VCSPERM

Contract Address: 0xE285510E5C14c2b8ff46147D9145f034B8Ff073B

VANCAT Sperm Token features:

VANCAT Sperm Token is a subtoken of VANCAT platform.

Users can mint special NFTs with VANCAT Sperm Token.

3% fee auto add to the liquidity pool to locked forever when selling

2% fee auto distribute to all holders

Max supply 100 trillion

50 Billion tokens max per TX

VANCAT Egg Token — VCEGG

Contract Address: 0x1FF2a2c2DEAdb17B6Ba9949393d1406f4c61BFC9

VANCAT Egg Token features:

VANCAT Egg Token is a subtoken of VANCAT platform.

Users can mint special NFTs with VANCAT Egg Token.

3% fee auto add to the liquidity pool to locked forever when selling

2% fee auto distribute to all holders

Max supply 10 million

5000 tokens max per TX

How and Where to Buy Vancattoken (VANCAT)?

VANCAT token is now live on the Binance mainnet. The token address for VANCAT is 0x8597ba143ac509189e89aab3ba28d661a5dd9830. 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 VANCAT token

Contract: 0x8597ba143ac509189e89aab3ba28d661a5dd9830

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 VANCAT 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 VANCAT

☞ Website ☞ Whitepaper ☞ Social Channel ☞ Social Channel 2 ☞ Message Board ☞ Message Board 2 ☞ 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 ⭐ ⭐ ⭐

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

#blockchain #bitcoin #vancat #vancattoken

What is GEEK

Buddha Community

What is Vancattoken (VANCAT) | What is VANCAT token

Crypto Like

1618908019

What is Vancattoken (VANCAT) | What is VANCAT token

In this article, we’ll discuss information about the Vancattoken project and VANCAT token

VanCatToken allows users to easily deposit BEP-20 tokens (ANY tokens) into an NFT. A scarce NFT (e.g. Art, Collectible, Virtual Real Estate, In-Game Item, etc.) can now be transformed into a basket holding a number of other tokens. VanCatToken platform is a new protocol layer, enabling a new world of NFTs. For our public launch, we’ll also be releasing the first decentralized application (DApp) on top of the VanCatToken Protocol, focused on Art/Collectible NFTs.

Van cats are a distinctive landrace of the domestic cat found in the Lake Van region of eastern Turkey. They are relatively large, have a chalky white coat, sometimes with ruddy coloration on the head and hindquarters, and have blue or amber eyes or have heterochromia (having one eye of each colour). It’s thought there are around 250,000 Van Cats in existence.

NFT’s (non fungible tokens) are a special type of cryptographic token which represents something unique; non-fungible tokens are thus not mutually interchangeable. We choose Van Cats for our platform because they are unique as NFTs.

VANCAT Token Fertilization Explained

Introducing a new and funky way of minting NFTs based on biology theory of reproduction; “VanCat Fertilization”.

To perform fertilization, a user must have both VANCAT Sperm Token (VCSPERM) and VANCAT Egg Token (VCEGG).

When the user wants to mint special NFT, the user must have at least 10 Million VANCAT Sperm Token (VCSPERM) and 1 VANCAT Egg Token (VCEGG). We take this idea in real life of cats. One cat ejaculates approximately 10 Million sperm cells with one ejaculation:

After EE, semen volumes ranged from 0.019–0.284 ml (mean 0.076) and spermatozoa counts of ejaculates collected in the catheter ranged from 0.32–49.60 x 106 (mean 11.64 x 106). Some animals show retrograde ejaculation after electrical stimulation.

When the user wants to mint special NFT, our NFT Minting Station (DApp) checks for previous transactions based on user’s wallet address. If the user did not perform an “ejaculation” call with VANCAT Sperm Token (VCSPERM) before, the DApp asks to user for it. User must have at least 10 Million VCSPERM because the ejaculation function costs 10 Million VANCAT Sperm Token (VCSPERM) like in real life.

After that, user must also have at least 1 VANCAT Egg Token (VCEGG) to mint a special NFT. The process is same as VCSPERM. But this time the DApp asks to user for calling “ovulation” function. The ovulation function is available on VANCAT Egg Token only. When ovulation function transaction is completed, the user is ready to mint a special NFT.

What have we done so far?

Like in real life, we ejaculated 10 Million VCSPERM and ovulated 1 VCEGG. So they should be combined now.

Our NFT Minting Station DApp can generate images from these transaction hashes with using Artificial Intelligence (A.I.). You can think these hashes as genes and when they combined, they builds the DNA code for the special NFTs.

VANCAT Token Roadmap

Hello again VANCAT lovers. As you know we have published our roadmap. But we did not explain it with details. We’re working hard and growing up fast. VANCAT Token team aims to bring a new perspective to the NFT world. 😺

VANCAT Token Roadmap

Q1–2021

Main idea of the project was discussed with the team and the team researched how can the idea could be possible.

In crypto world we see many projects that are duplicates of each other everyday. So we had to be different from them and bring a new perspective to the NFT world. This was our motto. ✌️

Q2–2021

What we did and What we will do

We have prepared everything what we need as we discussed.

A visual artist designed our logo, website and images.

We created communication channels: Telegram, Twitter, Reddit, Instagram, Medium.

VANCAT Token smart contract code has been deployed on Binance Smart Chain. We chose Binance Smart Chain (BSC) because of its low fees and speed advantages. ✌️

VANCAT Sperm Token — VCSPERM

Contract Address: 0xE285510E5C14c2b8ff46147D9145f034B8Ff073B

VANCAT Sperm Token features:

VANCAT Sperm Token is a subtoken of VANCAT platform.

Users can mint special NFTs with VANCAT Sperm Token.

3% fee auto add to the liquidity pool to locked forever when selling

2% fee auto distribute to all holders

Max supply 100 trillion

50 Billion tokens max per TX

VANCAT Egg Token — VCEGG

Contract Address: 0x1FF2a2c2DEAdb17B6Ba9949393d1406f4c61BFC9

VANCAT Egg Token features:

VANCAT Egg Token is a subtoken of VANCAT platform.

Users can mint special NFTs with VANCAT Egg Token.

3% fee auto add to the liquidity pool to locked forever when selling

2% fee auto distribute to all holders

Max supply 10 million

5000 tokens max per TX

How and Where to Buy Vancattoken (VANCAT)?

VANCAT token is now live on the Binance mainnet. The token address for VANCAT is 0x8597ba143ac509189e89aab3ba28d661a5dd9830. 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 VANCAT token

Contract: 0x8597ba143ac509189e89aab3ba28d661a5dd9830

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 VANCAT 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 VANCAT

☞ Website ☞ Whitepaper ☞ Social Channel ☞ Social Channel 2 ☞ Message Board ☞ Message Board 2 ☞ 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 ⭐ ⭐ ⭐

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

#blockchain #bitcoin #vancat #vancattoken

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.

A space-delimited string. The filter will normalise the string.
A regular expression.
A lambda.
A symbol that names a predicate method. For example :odd?.
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

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

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

#ruby #ruby-on-rails

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.

A space-delimited string. The filter will normalise the string.
A regular expression.
A lambda.
A symbol that names a predicate method. For example :odd?.
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.

RubyDoc documentation.

Demo

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

Contributors

See contributors.

Contributing

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

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

#ruby #nlp

aaron silva

1622197808

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