What is DigiCol (DGCL) | What is DGCL token

Creating and trading NFTs will never be the same. Digicol is launching a platform for one-click NFT creation along with a liquid marketplace for trading these tokens. Removing the technical barriers to creating NFTs will pave the way for an influx of creators and a flourishing marketplace.

The DGCL token will play an essential governance role guiding how the platform evolves. It will also provide a means to compensate creators and holders of NFTs. Digicol creators will be rewarded with a share of trading fees every time their NFT changes ownership while those that showcase their holdings can also earn rewards.

DGCL also allows holders to secure fractional ownership of NFTs. Physical collectable cards have recently been skyrocketing in price but the high prices prevent many from gaining exposure. The same concept can prevent digital asset enthusiasts from taking positions. On current platforms, the most valuable NFTs will only be accessible to those that have already built considerable wealth. DigiCol removes such barriers and allows DGCL holders to own fractional amounts of NFTs in the DigiCol marketplace.

DigiCol integrates** DeFi functionality** into their platform. NFTs can be collateralized to borrow assets like Ethereum and USDT. This is an unprecedented feature for NFT platforms with no other technology allowing NFT holders to use their holdings to access liquidity.

To make this DeFi functionality possible, DigiCol will operate a liquidity pool which will give users the opportunity to participate in liquidity mining. Those that provide liquidity to the pool will be rewarded with DGCL tokens.

DigiCol is transforming how NFTs can be created, traded, and used. With DigiCol, users can create NFTs with one-click. A vast marketplace of NFTs will be at their fingertips. Their NFTs can also be used to access liquidity in the form of other valuable assets.

DGCL is integral to the functioning of the DigiCol ecosystem. It properly rewards participants in the ecosystem while giving them boundless opportunities in a vast marketplace. DGCL holders will be able to use NFTs in innovative and unprecedented ways.

One-Click NFT Creation with DigiCol

Multi-functional infrastructure for the next wave of NFT adoption

Image for post

The hype in Decentralized Finance (DeFi) quickly dissipated as DeFi-related assets recorded sharp reversals in their price. DeFi users that were overleveraged observed their wealth evaporate as the value of their collateral diminished. As DeFi interest subsides, NFT interest has been piqued.

Non-fungible tokens (NFTs) are distinct token types that derive their utility from being diverse and unique from other tokens. Data is suggesting that we are approaching the next wave of NFT adoption.

NFTs can be considered to be digital collectables which are traded and secured on a blockchain infrastructure. They are commonly tied to non-fungible ERC721 tokens on the Ethereum blockchain. Google data shows record-high search volume for the term “NFT”.

Image for post

Search traffic for the term “NFT” (Source:  trends.google.com)

DigiCol will provide the infrastructure for the next wave of NFT adoption. NFT users have previously faced stiff technical barriers to creating and using NFTs. It typically requires advanced coding knowledge and a deep familiarity with third-party wallets like MetaMask.

DigiCol is the first platform to empower users with one-click NFT creation. Moreover, users will be able to trade NFTs in the DigiCol marketplace without the hassles of connecting to a third-party wallet.

The previous NFT hype cycle resulted in some tokens being traded for over $100,000. But as interest resurfaces, NFT users will demand more sophisticated infrastructure and more liquid markets.

NFTs have found huge markets in fields like art collectibles and online gaming. We have already observed decentralized marketplacesemerge to cater to these niches. But none have the one-click creation and seamless trading features of DigiCol.

After DigiCol users create NFTs, they can launch them into a liquid marketplace and earn rewards when their tokens are traded. Users that own NFTs can earn rewards in tokens native to the DigiCol platform by showcasing their holdings in the marketplace.

NFTs created on DigiCol can also be used to access highly-demanded digital assets like Ethereum and USDT. NFTs can be placed into secure smart contracts as collateral to borrow Ethereum and USDT.

DigiCol will drastically change how crypto enthusiasts interact with NFTs. Previous spikes in NFT activity have been predominantly driven by hardcore enthusiasts with the technical knowledge to create and trade. DigiCol will open the gates for a much wider user base.

Those that wish to experiment can easily create unique tokens. Those that wish to speculate on the future value of NFTs will find a vast marketplace on DigiCol. Creators who want to put their design skills to the test can launch their custom NFTs to the market and gauge demand. Those that create the most coveted NFTs will be highly rewarded.

DigiCol is changing the NFT landscape. It will provide a multi-functional infrastructure that makes NFT creation and trading seamless and secure. Built upon the Ethereum blockchain, DigiCol has immense amounts of globally-distributed computing power securing NFT ownership and transactions.

source : https://www.youtube.com/watch?v=FRoUYLRbSDI

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

Looking for more information…

☞ Website
☞ Explorer
☞ Social Channel
Message Board
☞ Documentation
☞ Coinmarketcap

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

#bitcoin #crypto #digicol #dgcl

What is GEEK

Buddha Community

What is DigiCol (DGCL) | What is DGCL token

What is DigiCol (DGCL) | What is DGCL token

Creating and trading NFTs will never be the same. Digicol is launching a platform for one-click NFT creation along with a liquid marketplace for trading these tokens. Removing the technical barriers to creating NFTs will pave the way for an influx of creators and a flourishing marketplace.

The DGCL token will play an essential governance role guiding how the platform evolves. It will also provide a means to compensate creators and holders of NFTs. Digicol creators will be rewarded with a share of trading fees every time their NFT changes ownership while those that showcase their holdings can also earn rewards.

DGCL also allows holders to secure fractional ownership of NFTs. Physical collectable cards have recently been skyrocketing in price but the high prices prevent many from gaining exposure. The same concept can prevent digital asset enthusiasts from taking positions. On current platforms, the most valuable NFTs will only be accessible to those that have already built considerable wealth. DigiCol removes such barriers and allows DGCL holders to own fractional amounts of NFTs in the DigiCol marketplace.

DigiCol integrates** DeFi functionality** into their platform. NFTs can be collateralized to borrow assets like Ethereum and USDT. This is an unprecedented feature for NFT platforms with no other technology allowing NFT holders to use their holdings to access liquidity.

To make this DeFi functionality possible, DigiCol will operate a liquidity pool which will give users the opportunity to participate in liquidity mining. Those that provide liquidity to the pool will be rewarded with DGCL tokens.

DigiCol is transforming how NFTs can be created, traded, and used. With DigiCol, users can create NFTs with one-click. A vast marketplace of NFTs will be at their fingertips. Their NFTs can also be used to access liquidity in the form of other valuable assets.

DGCL is integral to the functioning of the DigiCol ecosystem. It properly rewards participants in the ecosystem while giving them boundless opportunities in a vast marketplace. DGCL holders will be able to use NFTs in innovative and unprecedented ways.

One-Click NFT Creation with DigiCol

Multi-functional infrastructure for the next wave of NFT adoption

Image for post

The hype in Decentralized Finance (DeFi) quickly dissipated as DeFi-related assets recorded sharp reversals in their price. DeFi users that were overleveraged observed their wealth evaporate as the value of their collateral diminished. As DeFi interest subsides, NFT interest has been piqued.

Non-fungible tokens (NFTs) are distinct token types that derive their utility from being diverse and unique from other tokens. Data is suggesting that we are approaching the next wave of NFT adoption.

NFTs can be considered to be digital collectables which are traded and secured on a blockchain infrastructure. They are commonly tied to non-fungible ERC721 tokens on the Ethereum blockchain. Google data shows record-high search volume for the term “NFT”.

Image for post

Search traffic for the term “NFT” (Source:  trends.google.com)

DigiCol will provide the infrastructure for the next wave of NFT adoption. NFT users have previously faced stiff technical barriers to creating and using NFTs. It typically requires advanced coding knowledge and a deep familiarity with third-party wallets like MetaMask.

DigiCol is the first platform to empower users with one-click NFT creation. Moreover, users will be able to trade NFTs in the DigiCol marketplace without the hassles of connecting to a third-party wallet.

The previous NFT hype cycle resulted in some tokens being traded for over $100,000. But as interest resurfaces, NFT users will demand more sophisticated infrastructure and more liquid markets.

NFTs have found huge markets in fields like art collectibles and online gaming. We have already observed decentralized marketplacesemerge to cater to these niches. But none have the one-click creation and seamless trading features of DigiCol.

After DigiCol users create NFTs, they can launch them into a liquid marketplace and earn rewards when their tokens are traded. Users that own NFTs can earn rewards in tokens native to the DigiCol platform by showcasing their holdings in the marketplace.

NFTs created on DigiCol can also be used to access highly-demanded digital assets like Ethereum and USDT. NFTs can be placed into secure smart contracts as collateral to borrow Ethereum and USDT.

DigiCol will drastically change how crypto enthusiasts interact with NFTs. Previous spikes in NFT activity have been predominantly driven by hardcore enthusiasts with the technical knowledge to create and trade. DigiCol will open the gates for a much wider user base.

Those that wish to experiment can easily create unique tokens. Those that wish to speculate on the future value of NFTs will find a vast marketplace on DigiCol. Creators who want to put their design skills to the test can launch their custom NFTs to the market and gauge demand. Those that create the most coveted NFTs will be highly rewarded.

DigiCol is changing the NFT landscape. It will provide a multi-functional infrastructure that makes NFT creation and trading seamless and secure. Built upon the Ethereum blockchain, DigiCol has immense amounts of globally-distributed computing power securing NFT ownership and transactions.

source : https://www.youtube.com/watch?v=FRoUYLRbSDI

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

Looking for more information…

☞ Website
☞ Explorer
☞ Social Channel
Message Board
☞ Documentation
☞ Coinmarketcap

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

#bitcoin #crypto #digicol #dgcl

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

SafeMoon is a decentralized finance (DeFi) token. This token consists of RFI tokenomics and auto-liquidity generating protocol. A DeFi token like SafeMoon has reached the mainstream standards under the Binance Smart Chain. Its success and popularity have been immense, thus, making the majority of the business firms adopt this style of cryptocurrency as an alternative.

A DeFi token like SafeMoon is almost similar to the other crypto-token, but the only difference being that it charges a 10% transaction fee from the users who sell their tokens, in which 5% of the fee is distributed to the remaining SafeMoon owners. This feature rewards the owners for holding onto their tokens.

Read More @ https://bit.ly/3oFbJoJ

#create a defi token like safemoon #defi token like safemoon #safemoon token #safemoon token clone #defi token

aaron silva

aaron silva

1621844791

SafeMoon Clone | SafeMoon Token Clone | SafeMoon Token Clone Development

The SafeMoon Token Clone Development is the new trendsetter in the digital world that brought significant changes to benefit the growth of investors’ business in a short period. The SafeMoon token clone is the most widely discussed topic among global users for its value soaring high in the marketplace. The SafeMoon token development is a combination of RFI tokenomics and the auto-liquidity generating process. The SafeMoon token is a replica of decentralized finance (DeFi) tokens that are highly scalable and implemented with tamper-proof security.

The SafeMoon tokens execute efficient functionalities like RFI Static Rewards, Automated Liquidity Provisions, and Automatic Token Burns. The SafeMoon token is considered the most advanced stable coin in the crypto market. It gained global audience attention for managing the stability of asset value without any fluctuations in the marketplace. The SafeMoon token clone is completely decentralized that eliminates the need for intermediaries and benefits the users with less transaction fee and wait time to overtake the traditional banking process.

Reasons to invest in SafeMoon Token Clone :

  • The SafeMoon token clone benefits the investors with Automated Liquidity Pool as a unique feature since it adds more revenue for their business growth in less time. The traders can experience instant trade round the clock for reaping profits with less investment towards the SafeMoon token.
  • It is integrated with high-end security protocols like two-factor authentication and signature process to prevent various hacks and vulnerable activities. The Smart Contract system in SafeMoon token development manages the overall operation of transactions without any delay,
  • The users can obtain a reward amount based on the volume of SafeMoon tokens traded in the marketplace. The efficient trading mechanism allows the users to trade the SafeMoon tokens at the best price for farming. The user can earn higher rewards based on the staking volume of tokens by users in the trade market.
  • It allows the token holders to gain complete ownership over their SafeMoon tokens after purchasing from DeFi exchanges. The SafeMoon community governs the token distribution, price fluctuations, staking, and every other token activity. The community boosts the value of SafeMoon tokens.
  • The Automated Burning tokens result in the community no longer having control over the SafeMoon tokens. Instead, the community can control the burn of the tokens efficiently for promoting its value in the marketplace. The transaction of SafeMoon tokens on the blockchain platform is fast, safe, and secure.

The SafeMoon Token Clone Development is a promising future for upcoming investors and startups to increase their business revenue in less time. The SafeMoon token clone has great demand in the real world among millions of users for its value in the market. Investors can contact leading Infinite Block Tech to gain proper assistance in developing a world-class SafeMoon token clone that increases the business growth in less time.

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