1623739571
What is Ragnarok (ROK) | What is Ragnarok token | What is ROK token
In this article, we’ll discuss information about the Ragnarok project and ROK token
Use Case — Data Visualisation Tools The community has chosen to build data visualization tools that help assess the risk of an investment based on data fetched from the blockchain. This will enable investors to see if a token has a high chance of being a scam by just glancing at the Ragnarok Interface. This interface will be composed of information provided in a clean and easy to read way thanks to our design team. Automatic Audits Machine learning will be implemented to the Ragnarok Interface to provide the user with a confidence score for a particular token. Our community has shown it’s talents once more and has given us 3 Machine Learning experts that will be building an AI which will allocate a confidence score of 0–100% to a project based on how safe it is. By making our interface automated, we can offer this service for every single token in BSC, similar to PooCoin Charts. You’ll just have to ‘paste’ a Contract Address and our algorithms will do the magic. Optional Audits and KYC We will also offer Optional Audits and KYCs to project owners so they can prove to their community the legitimacy of their project. Once a project is Audited, KYCed or both, it will show up in the Ragnarok Interface as a stamp or certificate to let users know that the project has completed the optional tasks. This gives users additional security when investing in a token. The Ragnarok (ROK) token In order to give more value to the token and fund this project, the ROK token will be used in two ways. Firstly, audits will need to be paid in the form of liquidity. This means that if a project owner wants to have our audited stamp in their token, they will need to provide liquidity to the ROK liquidity pool. These tokens will then be required to be sent to a development wallet where they will be accumulated to enable CEX listings in the future. Secondly, only holders of the ROK token will be allowed to use the platform. This means that our community will keep growing and our token will become even more valuable. The specific requirements are still to be decided but it won’t be expensive and will be calculated at the current dollar price. This means that we will not be excluding people with lower funds.
Use Case — Data Visualisation Tools
The community has chosen to build data visualization tools that help assess the risk of an investment based on data fetched from the blockchain. This will enable investors to see if a token has a high chance of being a scam by just glancing at the Ragnarok Interface. This interface will be composed of information provided in a clean and easy to read way thanks to our design team.
Automatic Audits
Machine learning will be implemented to the Ragnarok Interface to provide the user with a confidence score for a particular token.
Our community has shown it’s talents once more and has given us 3 Machine Learning experts that will be building an AI which will allocate a confidence score of 0–100% to a project based on how safe it is. By making our interface automated, we can offer this service for every single token in BSC, similar to PooCoin Charts. You’ll just have to ‘paste’ a Contract Address and our algorithms will do the magic.
Optional Audits and KYC
We will also offer Optional Audits and KYCs to project owners so they can prove to their community the legitimacy of their project. Once a project is Audited, KYCed or both, it will show up in the Ragnarok Interface as a stamp or certificate to let users know that the project has completed the optional tasks. This gives users additional security when investing in a token.
The Ragnarok (RGNK) token
In order to give more value to the token and fund this project, the RGNK token will be used in two ways.
Firstly, audits will need to be paid in the form of liquidity. This means that if a project owner wants to have our audited stamp in their token, they will need to provide liquidity to the RGNK liquidity pool. These tokens will then be required to be sent to a development wallet where they will be accumulated to enable CEX listings in the future.
Secondly, only holders of the RGNK token will be allowed to use the platform. This means that our community will keep growing and our token will become even more valuable. The specific requirements are still to be decided but it won’t be expensive and will be calculated at the current dollar price. This means that we will not be excluding people with lower funds.
Token Visualisation Tools + Auditing Service (Scam sniffer/ DEX tools)
Our second proposal is to create a token visualisation tool that will not only represent a token’s price, but also how secure a token is.
A token will be evaluated with multiple algorithms that will search for patterns that scams tend to use, warning the investor of possible risks. As an example, it could detect a developer sending tokens to wallets before listing and then splitting these wallets into smaller ones.
An auditing service will also be created. Token creators can pay for this service by providing RNGK liquidity and the audit will be done by a group of experienced developers.
Bonus Proposal (Will take longer)
We combine both proposals into one by generating an application that not only serves as a launchpad, but also as a way of tracking how secure a token is. Auditing and possible KYC will be used to ensure the safety of investors.
Q&A
How do we solve the pump and dump problem?
- Vesting will be done after the presale has been completed. This means that 100% of the tokens will NOT be available to early investors, but instead will be released at constant intervals. For example, only 20% of the tokens bought during presale will be released per week.
How do we compete with other launchpads?
- Optional KYC offered for new launches. With different optional requirements, we can provide a score of 0–100 that represents how safe/legitimate a project may be. Investor’s security will be our priority and will help us clean the Binance Smart Chain and lay down the ground work for it to surpass Ethereum in terms of legitimate Dapps.
How and Where to Buy ROK token?
ROK token is now live on the Binance mainnet. The token address for ROK is 0x1717Cc260bACB7841B37Fed8d06846101b31e5C8. Be cautious not to purchase any other token with a smart contract different from this one (as this can be easily faked). We strongly advise to be vigilant and stay safe throughout the launch. Don’t let the excitement get the best of you.
Just be sure you have enough BNB in your wallet to cover the transaction fees.
Join To Get BNB (Binance Coin)! ☞ CLICK HERE
You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.
Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)
Next step
You need a wallet address to Connect to Pancakeswap Decentralized Exchange, we use Metamask wallet
If you don’t have a Metamask wallet, read this article and follow the steps
☞What is Metamask wallet | How to Create a wallet and Use
Transfer $BNB to your new Metamask wallet from your existing wallet
Next step
Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy, Swap ROK token
Contract: 0x1717Cc260bACB7841B37Fed8d06846101b31e5C8
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
The top exchange for trading in ROK token is currently Pancakeswap v2
Find more information ROK
☞ Website ☞ Explorer ☞ Social Channel ☞ Social Channel 2 ☞ Social Channel 3 ☞ Message Board ☞ 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
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐
I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!
#blockchain #bitcoin #rok #ragnarok
What is GEEK
Buddha Community
1623739571
What is Ragnarok (ROK) | What is Ragnarok token | What is ROK token
In this article, we’ll discuss information about the Ragnarok project and ROK token
Use Case — Data Visualisation Tools The community has chosen to build data visualization tools that help assess the risk of an investment based on data fetched from the blockchain. This will enable investors to see if a token has a high chance of being a scam by just glancing at the Ragnarok Interface. This interface will be composed of information provided in a clean and easy to read way thanks to our design team. Automatic Audits Machine learning will be implemented to the Ragnarok Interface to provide the user with a confidence score for a particular token. Our community has shown it’s talents once more and has given us 3 Machine Learning experts that will be building an AI which will allocate a confidence score of 0–100% to a project based on how safe it is. By making our interface automated, we can offer this service for every single token in BSC, similar to PooCoin Charts. You’ll just have to ‘paste’ a Contract Address and our algorithms will do the magic. Optional Audits and KYC We will also offer Optional Audits and KYCs to project owners so they can prove to their community the legitimacy of their project. Once a project is Audited, KYCed or both, it will show up in the Ragnarok Interface as a stamp or certificate to let users know that the project has completed the optional tasks. This gives users additional security when investing in a token. The Ragnarok (ROK) token In order to give more value to the token and fund this project, the ROK token will be used in two ways. Firstly, audits will need to be paid in the form of liquidity. This means that if a project owner wants to have our audited stamp in their token, they will need to provide liquidity to the ROK liquidity pool. These tokens will then be required to be sent to a development wallet where they will be accumulated to enable CEX listings in the future. Secondly, only holders of the ROK token will be allowed to use the platform. This means that our community will keep growing and our token will become even more valuable. The specific requirements are still to be decided but it won’t be expensive and will be calculated at the current dollar price. This means that we will not be excluding people with lower funds.
Use Case — Data Visualisation Tools
The community has chosen to build data visualization tools that help assess the risk of an investment based on data fetched from the blockchain. This will enable investors to see if a token has a high chance of being a scam by just glancing at the Ragnarok Interface. This interface will be composed of information provided in a clean and easy to read way thanks to our design team.
Automatic Audits
Machine learning will be implemented to the Ragnarok Interface to provide the user with a confidence score for a particular token.
Our community has shown it’s talents once more and has given us 3 Machine Learning experts that will be building an AI which will allocate a confidence score of 0–100% to a project based on how safe it is. By making our interface automated, we can offer this service for every single token in BSC, similar to PooCoin Charts. You’ll just have to ‘paste’ a Contract Address and our algorithms will do the magic.
Optional Audits and KYC
We will also offer Optional Audits and KYCs to project owners so they can prove to their community the legitimacy of their project. Once a project is Audited, KYCed or both, it will show up in the Ragnarok Interface as a stamp or certificate to let users know that the project has completed the optional tasks. This gives users additional security when investing in a token.
The Ragnarok (RGNK) token
In order to give more value to the token and fund this project, the RGNK token will be used in two ways.
Firstly, audits will need to be paid in the form of liquidity. This means that if a project owner wants to have our audited stamp in their token, they will need to provide liquidity to the RGNK liquidity pool. These tokens will then be required to be sent to a development wallet where they will be accumulated to enable CEX listings in the future.
Secondly, only holders of the RGNK token will be allowed to use the platform. This means that our community will keep growing and our token will become even more valuable. The specific requirements are still to be decided but it won’t be expensive and will be calculated at the current dollar price. This means that we will not be excluding people with lower funds.
Token Visualisation Tools + Auditing Service (Scam sniffer/ DEX tools)
Our second proposal is to create a token visualisation tool that will not only represent a token’s price, but also how secure a token is.
A token will be evaluated with multiple algorithms that will search for patterns that scams tend to use, warning the investor of possible risks. As an example, it could detect a developer sending tokens to wallets before listing and then splitting these wallets into smaller ones.
An auditing service will also be created. Token creators can pay for this service by providing RNGK liquidity and the audit will be done by a group of experienced developers.
Bonus Proposal (Will take longer)
We combine both proposals into one by generating an application that not only serves as a launchpad, but also as a way of tracking how secure a token is. Auditing and possible KYC will be used to ensure the safety of investors.
Q&A
How do we solve the pump and dump problem?
- Vesting will be done after the presale has been completed. This means that 100% of the tokens will NOT be available to early investors, but instead will be released at constant intervals. For example, only 20% of the tokens bought during presale will be released per week.
How do we compete with other launchpads?
- Optional KYC offered for new launches. With different optional requirements, we can provide a score of 0–100 that represents how safe/legitimate a project may be. Investor’s security will be our priority and will help us clean the Binance Smart Chain and lay down the ground work for it to surpass Ethereum in terms of legitimate Dapps.
How and Where to Buy ROK token?
ROK token is now live on the Binance mainnet. The token address for ROK is 0x1717Cc260bACB7841B37Fed8d06846101b31e5C8. Be cautious not to purchase any other token with a smart contract different from this one (as this can be easily faked). We strongly advise to be vigilant and stay safe throughout the launch. Don’t let the excitement get the best of you.
Just be sure you have enough BNB in your wallet to cover the transaction fees.
Join To Get BNB (Binance Coin)! ☞ CLICK HERE
You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.
Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)
Next step
You need a wallet address to Connect to Pancakeswap Decentralized Exchange, we use Metamask wallet
If you don’t have a Metamask wallet, read this article and follow the steps
☞What is Metamask wallet | How to Create a wallet and Use
Transfer $BNB to your new Metamask wallet from your existing wallet
Next step
Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy, Swap ROK token
Contract: 0x1717Cc260bACB7841B37Fed8d06846101b31e5C8
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
The top exchange for trading in ROK token is currently Pancakeswap v2
Find more information ROK
☞ Website ☞ Explorer ☞ Social Channel ☞ Social Channel 2 ☞ Social Channel 3 ☞ Message Board ☞ 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
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐
I hope this post will help you. Don’t forget to leave a like, comment and sharing it with others. Thank you!
#blockchain #bitcoin #rok #ragnarok
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.
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
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
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SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon
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