What is VIDT Datalink (VIDT) | What is VIDT Datalink token | What is VIDT token

VIDT Datalink is a blockchain-powered data validation platform. VIDT Datalink enables organizations to protect their digital data against fraud and manipulation. A simple but strong formula, that adds and protects value at minimum expense and effort. Organizations like Nyenrode, AmSpec and IBM use VIDT Datalink to certify and secure digital documents like certificates, invoices, diplomas and sensor-data.

Technology

Publishers

In the schedule, publishers are organisations and creators of files or data. The creation of documents or data can be done using services or hardware devices.

Buidl

These publishers can be linked to any cloud service, which then connects to the VIDT API. The integration of these services is a breeze with VIDT Datalink’s extensive documentation.

Secure it

Only the files’ (encrypted) fingerprints are stored in the blockchain. This ensures privacy and GDPR compliance. Another option for publishers is to connect with the VIDT API directly.

1_SXkdIK7kUR-FH-a07BwDag (2).jpeg

VIDT API

The VIDT API is the most efficient, cost effective and straightforward way to use our data integrity platform. It is fully compatible with all major programming languages, and therefore easy to link to any business software platform.

VIDT BEP20 Token

The VIDT Smart Contract fulfils multiple tasks each time a file is anchored. It identifies the publisher (issuer), stores the (encrypted) hash of the file in the transaction itself, the smart contract and optionally in the receipt tree (to be used directly in a wallet client or DAPP).

Anchor it

Standard anchoring is facilitated using the VIDT Smart Contract on BSC and the LTO Network blockchain.

Furthermore periodic batch anchoring is done using the Bitcoin AND the Ethereum Blockchain.

Integrators

IBM

With the Internet of Environments project, IBM and their partners are linking IoE sensors to IBM Watson. IoE provides an ecosystem where IoT sensors can emit data along with a proof of data origin and creation time. In addition, blockchain certified reports are generated with which data changes into authentic and comprehensible information.”

LTO Network

LTO Network is a hybrid blockchain for securing, verifying and exchanging business critical information. LTO is on a mission to create and maintain a fully decentralised and highly efficient blockchain infrastructure, directly applicable and aimed at creating value for organisations. For LTO, VIDT Datalink provides a great front-end and a plug-and-play verification solution.

Integrator:

V-ID

The V-ID service was the first and is one of the biggest VIDT Datalink integrators. They provide low barrier document and data verification for publishers like Amsterdam Vintage Watches, Airbus, Nyenrode, Factorylab & Douwes Fine Art. With their verification terminal they play a substantial role in the VIDT Datalink ecosystem.

Procentec

Procentec is on the forefront of their industry, tackling digital fraud with state of the art innovations. This year Procentec will roll out Lockbox; a platform to ensure the safety of any, all and to be installed firmware on the factory floor. This will revolutionise the way facilities reach 100% data integrity.

Navarik

Some of the world’s largest oil companies employ Navarik’s software to manage the movement of oil globally. With valuable data flowing daily through Navarik’s platforms, data integrity is of utmost importance. By integrating VIDT Datalink tech in their products, Navarik makes all crucial data verifiable, either automatically or manually in 5 seconds.

VIDT Token

Each time a publisher timestamps a file, a $VIDT transaction is made which records all necessary details into several blockchains. This makes $VIDT BEP20 THE integral part of the VIDT Datalink validation process.

VIDT Total Supply

VIDT Datalink tokenomics are considered some of the best in crypto, given the deflationary burn mechanism that grows as the usage of the platform* grows. In this way, maximum supply is ever-decreasing.

Next VIDT monthly burn: Mar 31 2021

VIDT Token burns happen end of each month. Feb burn was 59,434 tokens and March is looking good!

Community-Built Dashboard

*An objective / unofficial view on timestamp processing can be monitored on vidt-stats.com (built by Jim, one of the many great VIDT Community Members).

Learn about Cryptocurrency in this article ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner

Would you like to earn VIDT right now! ☞ CLICK HERE

How and Where to Buy VIDT Datalink (VIDT)?

VIDT has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy VIDT

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

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

Binance is a popular cryptocurrency exchange which was started in China but then moved their headquarters to the crypto-friendly Island of Malta in the EU. Binance is popular for its crypto to crypto exchange services. Binance exploded onto the scene in the mania of 2017 and has since gone on to become the top crypto exchange in the world.

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)

SIGN UP ON BINANCE

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

After the deposit is confirmed you may then purchase VIDT from the exchange.

Exchange: Binance, BKEX, Hoo, KuCoin, and Uniswap (V2)

Apart from the exchange(s) above, 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 VIDT 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
https://www.mxc.ai
https://www.probit.com
https://www.gate.io
https://www.coinbase.com

Find more information VIDT

WebsiteExplorerExplorer 2WhitepaperSource CodeSocial ChannelSocial Channel 2Social Channel 3Coinmarketcap

I hope this post will help you. If you liked this, please sharing it with others. Thank you!

#cryptocurrency #bitcoin #vidt datalink #vidt

What is GEEK

Buddha Community

What is VIDT Datalink (VIDT) | What is VIDT Datalink token | What is VIDT token

What is VIDT Datalink (VIDT) | What is VIDT Datalink token | What is VIDT token

VIDT Datalink is a blockchain-powered data validation platform. VIDT Datalink enables organizations to protect their digital data against fraud and manipulation. A simple but strong formula, that adds and protects value at minimum expense and effort. Organizations like Nyenrode, AmSpec and IBM use VIDT Datalink to certify and secure digital documents like certificates, invoices, diplomas and sensor-data.

Technology

Publishers

In the schedule, publishers are organisations and creators of files or data. The creation of documents or data can be done using services or hardware devices.

Buidl

These publishers can be linked to any cloud service, which then connects to the VIDT API. The integration of these services is a breeze with VIDT Datalink’s extensive documentation.

Secure it

Only the files’ (encrypted) fingerprints are stored in the blockchain. This ensures privacy and GDPR compliance. Another option for publishers is to connect with the VIDT API directly.

1_SXkdIK7kUR-FH-a07BwDag (2).jpeg

VIDT API

The VIDT API is the most efficient, cost effective and straightforward way to use our data integrity platform. It is fully compatible with all major programming languages, and therefore easy to link to any business software platform.

VIDT BEP20 Token

The VIDT Smart Contract fulfils multiple tasks each time a file is anchored. It identifies the publisher (issuer), stores the (encrypted) hash of the file in the transaction itself, the smart contract and optionally in the receipt tree (to be used directly in a wallet client or DAPP).

Anchor it

Standard anchoring is facilitated using the VIDT Smart Contract on BSC and the LTO Network blockchain.

Furthermore periodic batch anchoring is done using the Bitcoin AND the Ethereum Blockchain.

Integrators

IBM

With the Internet of Environments project, IBM and their partners are linking IoE sensors to IBM Watson. IoE provides an ecosystem where IoT sensors can emit data along with a proof of data origin and creation time. In addition, blockchain certified reports are generated with which data changes into authentic and comprehensible information.”

LTO Network

LTO Network is a hybrid blockchain for securing, verifying and exchanging business critical information. LTO is on a mission to create and maintain a fully decentralised and highly efficient blockchain infrastructure, directly applicable and aimed at creating value for organisations. For LTO, VIDT Datalink provides a great front-end and a plug-and-play verification solution.

Integrator:

V-ID

The V-ID service was the first and is one of the biggest VIDT Datalink integrators. They provide low barrier document and data verification for publishers like Amsterdam Vintage Watches, Airbus, Nyenrode, Factorylab & Douwes Fine Art. With their verification terminal they play a substantial role in the VIDT Datalink ecosystem.

Procentec

Procentec is on the forefront of their industry, tackling digital fraud with state of the art innovations. This year Procentec will roll out Lockbox; a platform to ensure the safety of any, all and to be installed firmware on the factory floor. This will revolutionise the way facilities reach 100% data integrity.

Navarik

Some of the world’s largest oil companies employ Navarik’s software to manage the movement of oil globally. With valuable data flowing daily through Navarik’s platforms, data integrity is of utmost importance. By integrating VIDT Datalink tech in their products, Navarik makes all crucial data verifiable, either automatically or manually in 5 seconds.

VIDT Token

Each time a publisher timestamps a file, a $VIDT transaction is made which records all necessary details into several blockchains. This makes $VIDT BEP20 THE integral part of the VIDT Datalink validation process.

VIDT Total Supply

VIDT Datalink tokenomics are considered some of the best in crypto, given the deflationary burn mechanism that grows as the usage of the platform* grows. In this way, maximum supply is ever-decreasing.

Next VIDT monthly burn: Mar 31 2021

VIDT Token burns happen end of each month. Feb burn was 59,434 tokens and March is looking good!

Community-Built Dashboard

*An objective / unofficial view on timestamp processing can be monitored on vidt-stats.com (built by Jim, one of the many great VIDT Community Members).

Learn about Cryptocurrency in this article ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner

Would you like to earn VIDT right now! ☞ CLICK HERE

How and Where to Buy VIDT Datalink (VIDT)?

VIDT has been listed on a number of crypto exchanges, unlike other main cryptocurrencies, it cannot be directly purchased with fiats money. However, You can still easily buy this coin by first buying Bitcoin, ETH, USDT from any large exchanges and then transfer to the exchange that offers to trade this coin, in this guide article we will walk you through in detail the steps to buy VIDT

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

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

Binance is a popular cryptocurrency exchange which was started in China but then moved their headquarters to the crypto-friendly Island of Malta in the EU. Binance is popular for its crypto to crypto exchange services. Binance exploded onto the scene in the mania of 2017 and has since gone on to become the top crypto exchange in the world.

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)

SIGN UP ON BINANCE

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

After the deposit is confirmed you may then purchase VIDT from the exchange.

Exchange: Binance, BKEX, Hoo, KuCoin, and Uniswap (V2)

Apart from the exchange(s) above, 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 VIDT 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
https://www.mxc.ai
https://www.probit.com
https://www.gate.io
https://www.coinbase.com

Find more information VIDT

WebsiteExplorerExplorer 2WhitepaperSource CodeSocial ChannelSocial Channel 2Social Channel 3Coinmarketcap

I hope this post will help you. If you liked this, please sharing it with others. Thank you!

#cryptocurrency #bitcoin #vidt datalink #vidt

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 

aaron silva

aaron silva

1622197808

SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon

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