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1608100379

What is HLand protocol (HLAND) | What is HLAND token

Hland protocol is a decentralized financial platform built on the Ethereum network to provide users with a SIMPLE & EASY profit maximizing solution AI - for Profit Maximization & Risk Minimization. And Hland lending protocol also provides extensive AI driven risk minimization measures. Our automatic data valuation engine first filters through all the relevant data, then provides only high-quality data into the risk minimization engine to adjust relevant parameters across Hland’s lending protocol.

HLand Finance is the most Defi-like financial platform that introduces a simple and easy investment system and a governance system created by participants without the forces controlling the ecosystem.

Features

A Host of Great Features

Save time

Time is money! Hland maximizes your efficiency by allowing you to manage and grow your portfolio without having to constantly monitor and worry.

Community Governance

Our support team is always available to ensure that everything is running smoothly. Join our community to discuss, share and vote on the development of the platform.

Easy to use

Learn how to use our product in just a few minutes, everything is designed to be super simple.

Grow your portfolio

Successful investors know how to make a portfolio work. However, with Hland you won’t need to hire a professional advisor to see your portfolio expand faster than you can ever imagine.

Why HLand Finance?

What’s a revolution without participants? A proper De-Fi platform must be simple and accessible, even to digital asset novices. Our goal is to simplify De-Fi, gather a wide user base, create high utility services, and grow portfolios. Hland will be developed and managed together with the Hland community through a governance system. Get ready to participate in our community!

How it Works

Hland protocol is a decentralized financial platform built on the Ethereum network to provide users with a SIMPLE & EASY profit maximizing solution AI - for Profit Maximization & Risk Minimization

To maximize profit

Hland provides automatic rebalancing over various cryptocurrency assets.

Participants of the Hland protocol ecosystem will have the option to choose from a variety of rebalancing options to further increase their earnings on top of staking.

Hland lending protocol also provides extensive AI driven risk minimization measures. Our automatic data valuation engine first filters through all the relevant data, then provides only high-quality data into the risk minimization engine to adjust relevant parameters across Hland’s lending protocol.

HLand Ecology

Hland ecosystem provides a solution to maximize profits with the motto of “Simple & Easy”.

Hland Earn

Start earning tokens simply by contributing liquidity to the community pool.

Hland Swap

Conveniently switch between various digital assets under the efficiency engine of an automated market maker (AMM).

Hland Saving

Weighted yields and lock-up periods bring growth and stability to arenas such as savings and smart contract lending.

Hland Governance

Members of the Hland community will always have the power to voice their ideas, vote on changes, and shape the project’s future.

HLand Token Information

  • Contract address : 0xba7b2c094c1a4757f9534a37d296a3bed7f544dc
  • Total Supply : 100,000
  • Digged in 4 years, 25 thousand per year

HLand Finance Yield Farming

We have a plan to open a total of 4 pools.

1. Hplus Pool(Opened)

  • pair : HPlus — USDT
  • reward type : HLand

2. (HLAND) Pool(Opened)

  • pair : HLnad — USDT
  • reward type : HLand

3. (. ) Pool(scheduled to open)

  • pair : HLnad — HPlus
  • reward type : HLand

4. (. ) Pool(scheduled to open)

  • pair : HLnad — KOMP
  • reward type : HLand

HLAND Mining and Pool Paticipation_Guide

  1. Run the Metamask app and access the Uniswap site through the browser on the top left menu bar. -> https://app.uniswap.org/#/add
  2. Click the POOL tab at the top of the Uniswap site to go to the pool participation screen.
  3. Press the “Add Liquidity” button.
  4. Click the “Select a token” button to display a list of selectable tokens.
  5. If you select USDT, the first token to join the pool, USDT is applied to the token entry screen.

Image for post

  1. The next step is to choose HLAND. Since HLAND is not displayed in the selectable list, you must enter the HLAND address in the address field.
  2. HLAND Address: Enter 0xba7b2c094c1a4757f9534a37d296a3bed7f544dc.
  3. After entering the address, select the HALND token when it appears at the bottom.
  4. If you want to deposit the entire amount of HLAND you have, press the “MAX” button to enter the total amount of your HLAND.
  5. The quantity of USDT is automatically set according to the ratio of the quantity and amount of participating HLANDs. When the quantity of each token is confirmed, press the “Supply” button to proceed to the next step.

Image for post

  1. To approve participation in the pool, a message will be displayed to confirm the amount and rate of USDT and HLAND deposits, and the amount of pool tokens to be received. Click “Confirm Supply” button to approve.
  2. In order to participate in the pool, a certain fee is deducted from Metamask. The fee will be deducted from Metamask’s Ether balance. After checking the fee amount, click the “Confirm button.
  3. After that, the pool participation will be completed after a certain waiting time. When the guide window is exposed, click the “Close” button.

Image for post

  1. When the pool participation is complete, you can check the pool you have joined on the Pool tab.
  2. Click the Manage button of the HLAND/USDT pool.
  3. If you tap it, you can also check details such as HLAND, USDT, full token, full share, etc.

Image for post

  1. From the HLAND Swap site, go to the site to mine HLAND, and click the “Unlock Wallet” button to link the Metamask wallet.
  2. Click the next Metamask “Connect” button to complete the linkage with Metamask.
  3. Click the “Select” button to participate in the HLAND-USDT pool opened on the Hland Swap site.

Image for post

  1. In order to participate in the mining pool, you must approve the pool token received from Uniswap. Click the “Approve HLAND-UDT UNI-V2 LP” button.
  2. The amount of reserve pool tokens available for deposit is displayed in the information window.
  3. Press the “MAX” button to enter the total amount of your pool tokens. 4. After that, some time is spent to approve the deposit, which is displayed as “Pending Confirmation”.

Image for post

  1. Click the “Confirm” button again to approve Metamask.
  2. When the deposit is completed, the full token deposit is applied on the Hland swap screen, and the buttons at the bottom become active. Used to deposit additional tokens. Additional deposits increase the amount of HLAND mined.
  3. Mining begins, and as time passes, the number of HLANDs to be mined continuously increases, and you can check in real time.

Image for post

Would you like to earn many tokens and cryptocurrencies right now! ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Explorer
☞ Source Code
☞ Social Channel
Message Board
☞ Coinmarketcap

Create an Account and Trade Cryptocurrency NOW

Binance
Bittrex
Poloniex

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #blockchain #hland protocol #hland

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Buddha Community

What is HLand protocol (HLAND) | What is HLAND token
Crypto Like

Crypto Like

1608100379

What is HLand protocol (HLAND) | What is HLAND token

Hland protocol is a decentralized financial platform built on the Ethereum network to provide users with a SIMPLE & EASY profit maximizing solution AI - for Profit Maximization & Risk Minimization. And Hland lending protocol also provides extensive AI driven risk minimization measures. Our automatic data valuation engine first filters through all the relevant data, then provides only high-quality data into the risk minimization engine to adjust relevant parameters across Hland’s lending protocol.

HLand Finance is the most Defi-like financial platform that introduces a simple and easy investment system and a governance system created by participants without the forces controlling the ecosystem.

Features

A Host of Great Features

Save time

Time is money! Hland maximizes your efficiency by allowing you to manage and grow your portfolio without having to constantly monitor and worry.

Community Governance

Our support team is always available to ensure that everything is running smoothly. Join our community to discuss, share and vote on the development of the platform.

Easy to use

Learn how to use our product in just a few minutes, everything is designed to be super simple.

Grow your portfolio

Successful investors know how to make a portfolio work. However, with Hland you won’t need to hire a professional advisor to see your portfolio expand faster than you can ever imagine.

Why HLand Finance?

What’s a revolution without participants? A proper De-Fi platform must be simple and accessible, even to digital asset novices. Our goal is to simplify De-Fi, gather a wide user base, create high utility services, and grow portfolios. Hland will be developed and managed together with the Hland community through a governance system. Get ready to participate in our community!

How it Works

Hland protocol is a decentralized financial platform built on the Ethereum network to provide users with a SIMPLE & EASY profit maximizing solution AI - for Profit Maximization & Risk Minimization

To maximize profit

Hland provides automatic rebalancing over various cryptocurrency assets.

Participants of the Hland protocol ecosystem will have the option to choose from a variety of rebalancing options to further increase their earnings on top of staking.

Hland lending protocol also provides extensive AI driven risk minimization measures. Our automatic data valuation engine first filters through all the relevant data, then provides only high-quality data into the risk minimization engine to adjust relevant parameters across Hland’s lending protocol.

HLand Ecology

Hland ecosystem provides a solution to maximize profits with the motto of “Simple & Easy”.

Hland Earn

Start earning tokens simply by contributing liquidity to the community pool.

Hland Swap

Conveniently switch between various digital assets under the efficiency engine of an automated market maker (AMM).

Hland Saving

Weighted yields and lock-up periods bring growth and stability to arenas such as savings and smart contract lending.

Hland Governance

Members of the Hland community will always have the power to voice their ideas, vote on changes, and shape the project’s future.

HLand Token Information

  • Contract address : 0xba7b2c094c1a4757f9534a37d296a3bed7f544dc
  • Total Supply : 100,000
  • Digged in 4 years, 25 thousand per year

HLand Finance Yield Farming

We have a plan to open a total of 4 pools.

1. Hplus Pool(Opened)

  • pair : HPlus — USDT
  • reward type : HLand

2. (HLAND) Pool(Opened)

  • pair : HLnad — USDT
  • reward type : HLand

3. (. ) Pool(scheduled to open)

  • pair : HLnad — HPlus
  • reward type : HLand

4. (. ) Pool(scheduled to open)

  • pair : HLnad — KOMP
  • reward type : HLand

HLAND Mining and Pool Paticipation_Guide

  1. Run the Metamask app and access the Uniswap site through the browser on the top left menu bar. -> https://app.uniswap.org/#/add
  2. Click the POOL tab at the top of the Uniswap site to go to the pool participation screen.
  3. Press the “Add Liquidity” button.
  4. Click the “Select a token” button to display a list of selectable tokens.
  5. If you select USDT, the first token to join the pool, USDT is applied to the token entry screen.

Image for post

  1. The next step is to choose HLAND. Since HLAND is not displayed in the selectable list, you must enter the HLAND address in the address field.
  2. HLAND Address: Enter 0xba7b2c094c1a4757f9534a37d296a3bed7f544dc.
  3. After entering the address, select the HALND token when it appears at the bottom.
  4. If you want to deposit the entire amount of HLAND you have, press the “MAX” button to enter the total amount of your HLAND.
  5. The quantity of USDT is automatically set according to the ratio of the quantity and amount of participating HLANDs. When the quantity of each token is confirmed, press the “Supply” button to proceed to the next step.

Image for post

  1. To approve participation in the pool, a message will be displayed to confirm the amount and rate of USDT and HLAND deposits, and the amount of pool tokens to be received. Click “Confirm Supply” button to approve.
  2. In order to participate in the pool, a certain fee is deducted from Metamask. The fee will be deducted from Metamask’s Ether balance. After checking the fee amount, click the “Confirm button.
  3. After that, the pool participation will be completed after a certain waiting time. When the guide window is exposed, click the “Close” button.

Image for post

  1. When the pool participation is complete, you can check the pool you have joined on the Pool tab.
  2. Click the Manage button of the HLAND/USDT pool.
  3. If you tap it, you can also check details such as HLAND, USDT, full token, full share, etc.

Image for post

  1. From the HLAND Swap site, go to the site to mine HLAND, and click the “Unlock Wallet” button to link the Metamask wallet.
  2. Click the next Metamask “Connect” button to complete the linkage with Metamask.
  3. Click the “Select” button to participate in the HLAND-USDT pool opened on the Hland Swap site.

Image for post

  1. In order to participate in the mining pool, you must approve the pool token received from Uniswap. Click the “Approve HLAND-UDT UNI-V2 LP” button.
  2. The amount of reserve pool tokens available for deposit is displayed in the information window.
  3. Press the “MAX” button to enter the total amount of your pool tokens. 4. After that, some time is spent to approve the deposit, which is displayed as “Pending Confirmation”.

Image for post

  1. Click the “Confirm” button again to approve Metamask.
  2. When the deposit is completed, the full token deposit is applied on the Hland swap screen, and the buttons at the bottom become active. Used to deposit additional tokens. Additional deposits increase the amount of HLAND mined.
  3. Mining begins, and as time passes, the number of HLANDs to be mined continuously increases, and you can check in real time.

Image for post

Would you like to earn many tokens and cryptocurrencies right now! ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Explorer
☞ Source Code
☞ Social Channel
Message Board
☞ Coinmarketcap

Create an Account and Trade Cryptocurrency NOW

Binance
Bittrex
Poloniex

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #blockchain #hland protocol #hland

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

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1622197808

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