What is Bitconeytoken | What is BITCONEY token

In this article, we'll discuss information about the Bitconeytoken project and BITCO token. What is Bitconeytoken | What is BITCONEY token?

BITCONEY is a game token created for "Crypto Bunny" mobile game, a free play to earn crypto game. The players in the game are rewarded with CB coins which they can convert to BITCONEY tokens and withdraw to their wallets. The game in a way mimics the Bitcoin mining process and has similar properties of Bitcoin like difficulty increase, Block reward halving, etc. Crypto Bunny gives the players the ability to mine the blocks while competing with other players in a fun way

Crypto Bunny is a game that recreates the process of Bitcoin mining by adding fun for the players during the game mining process.

The game is aimed at the diverse gaming community which can get easily onboarded from regular platforms. Our main line of comparison lies within the traditional gaming market with the same players being targeted as our audience. Crypto Bunny has the potential to attract millions of gamers, and an associated greater opportunity for revenues.

The game is designed in a way to allow players to be part of bringing the BITCONEY tokens in to circulation by mining the CB coins. Players also enjoy that they don't need to spend money to play(if they don't want to) and can still earn the rewards.

Crypto Bunny is the brainchild of Webiverse Technologies India Private Limited, a technology company that is majorly focused on developing games. In Crypto Bunny, Webiverse is bringing a collaboration with Samedha Technologies to connect the game with blockchain for BITCONEY token withdrawals and cuirculation.

Crypto Bunny is currently in beta testing and will be released soon for Android and IOS devices. The intent now is to fund this team as a new company, developing Crypto Bunny so it becomes a commercial success introducing millions of players to blockchain.

Introducing Crypto Bunny

Crypto Bunny recreates the Bitcoin mining experience in an exciting way. Blocks can be mined by the players to earn BITCONEY tokens. Just like Bitcoin's mining algorithm, the game increases the difficulty and reduces the block rewards periodically. During the game play, players can compete with each other by attacking and defending using special powers and can do a lot more.

Business Objectives, Market and Target audience:

  • Crypto Bunny is a game for a large global audience of players in general. Absolutely no prior knowledge about cryptocurrencies is needed. Because of that, we compare mainly with the normal game market, and target the same players. A much bigger audience than previously seen in the field of blockchain gaming, and an associated larger opportunity for revenues.
  • Games that are too complex and offer too many things don't make the player experience any better. Crypto Bunny offers just enough features to make the game fun and playable for everyone without having to remember too many things and refer to tutorials every time. Keeping the game simple and not huge attracts more players and keeps the retention rate high.

Market:

  • Target audience: The target audience for Crypto Bunny game are the existing Android and IOS users who play games on their devices. We hope to bring more new users to play the game and earn BITCONEY through our marketing strategies.

What sets this project apart?

  • We are in a very interesting time period where play to earn games start trending. 
  • There are very few games if not none, that are play-to-earn games which let players play and earn rewards for free without any ads. 
  • The game philosophy is memorable and historical. I.e, we use “Crypto Bunny” as a central figure in the game to compete with other Crypto Bunnies to mine and earn CB coins. Human psychology like the fact that they are earning by competing with others. Also, the Crypto Bunny is cute. Cute sells. 
  • The game can be played as playing any other game. It's only optional for the players to use a BITCONEY wallet and withdraw the tokens they earn. Although, we hope all the players withdraw the tokens they earn. 
  • We want to attract regular players who want to enjoy the gameplay experience. But for those interested in diving deeper into the game, there is a space for blockchain enthusiasts as well.

Goals

With the unique style and large interest in these kinds of games, as well as the unique element we bring, we think the game can compete in the market and share similar numbers as the other games, reaching millions of users. Mainly, as no previous experience or interest in blockchain or cryptocurrencies is required, we aim at fully developing the potential of blockchain economy, while abstracting its complexity from the users.

Explore the Amazing Game Features

  • Mine more gems: Select more powerful hammers to mine faster and collect more gems. The basic hammer mines at a constant rate and is the slowest hammer. Save more time and eam more gems by selecting one of the 3 powerful hammers.
  • Attack and Defend: Select one of the 3 Gases to attack other players in the range to steal their gems and add them to your pouch. Beware that these gases can be used by the other players to attack you too! Defend yourself from these attacks by having masks and wearing a mask.
  • Don't get caught with fake gems: Fake Gems are dangerous to have. When found one, get rid of it by throwing in to another player's pouch. Otherwise, you will lose your hard earned gems and CB coins if you are caught with them at the end of Block completion.

Key game features

Blockchain: The Crypto Bunny game itself mimics Bitcoin blockchain and it's mining process. Players are inside the blockchain, mining one block at a time by competing with others to get as many rewards as possible. The mining time and difficulty of the blocks will be gradually increasing making it harder to earn more rewards per player without purchasing special powers.

Hammers: In the game, players could either purchase special hammers from the in-app store or use the free basic hammer to mine. Special hammers have more power and can mine faster than the free hammer. There are 3 types of special hammers.

Gas Attacks: There are 3 types of gas attacks available in the game to purchase. Each gas has a range. More power gas attacks have bigger range. When these attacks are used, any other players in the range will be attacked and will lose some of their earned gems to the attacking player.

Masks: Masks defend the players from attacks. Masks can be purchased from in-app store. Having and wearing a mask will defend the player from gas attacks and saves the players from losing their earned gems.

Tiles and Gems: Whenever a player mines a tile in the block, they earn gems. There are 3 types of tiles. Each type of tiles has a fixed number of gems that will be rewarded to the player who mined it.

Fake Gems and Fake Gem Detectors: Occassionally, some players inside the block may mine fake gems along with the genuine gems. Players who mined a fake gem will be immediately warned. A red gem flashing will be shown to the player warning to get rid of the fake gem. The player can still continue to play the game but inorder to get rid of the fake gem, the player has to tap on the flashing red gem icon and then tap on a player to throw the gem into that player's pouch. If that player has a special fake gem detector and has it turned on, the fake gem warning will be displayed. Otherwise, the player will not know that another player has thrown a fake gem into their pouch. Once the block is completely mined, the players who have the fake gems will lose 10% of their genuine gems and these gems will be equally distributed to the players who don't have fake gems.

Token model

Crypto Bunny is a multiplayer mobile game that will be released on Android and IOS. Crypto Bunny recreates the Bitcoin mining experience in an exciting way. Blocks can be mined by the players to earn BITCONEY tokens. Just like Bitcoin's mining algorithm, the game increases the difficulty and reduces the block rewards periodically. During the game play, players can compete with each other by attacking and defending using special powers and can do a lot more.

Special hammers can be used to mine faster and earn more gems. There are 3 types of tiles inside the block. Mining a Blue tile gives a player 10 gems, Green tile gives 20 gems and Pink tile gives 30 gems. Getting attacked by other players will take away 10% of their gems and awards them to the attacker. Pungent gas attack has small range, Rotten gas attack has medium range and Decayed gas attack has large range.

Only the players inside the range of the attack will be affected. The total number of gems a player has at the end of the block will be converted to CB coins. The CB coins can be converted to BITCONEY and withdrawn to the player's wallet.

Tokenomics

Max Supply = 21,000,000 BITCONEY
Initial Supply = 1,125,000 BITCONEY
Maximum tokens supplied via CryptoBunny Game (Tokens are Released into the Game wallet everytime a block is completely mined by the players in CryptoBunny game and are available to the players to withdraw to their BITCONEY wallets) = 19,875,000 BITCONEY
Minimum Gems collected per tile = 10
Maximum Gem collected per tile = 30
10 Gems = (Current Block Reward / Total Gems collected in the Block) CB Coins Eg: Current Block Reward = 5,000,000 CB Coins
Total Gems collected in the block = 25,000
10 Gems = 5,000,000/25,000 = 20 CB Coins = 0.002 BITCONEY
Block Reward halves at every 420th block
1 CB Coin = 0.00001 BITCONEY

Blocks 1 to 225 are mined by Buntoshi Nakamoto:
112,500,000,000 CB Coins = 1,125,000 BITCONEY
CB Coin Mining for players will start at block #226

CB Coins available for the players to mine in the game:
1,987,500,000,000 CB Coins = 19,875,000 BITCONEY

  • Token sale. These tokens will be reserved for sale. 
  • Team and Advisors. These tokens are allocated to founding and non-founding members of Crypto Bunny. 
  • Game rewards. These tokens will be used to incentivize those players who earn tokens by playing Crypto Bunny game. This design is to encourage user participation in the game and to maintain traction.

How and Where to Buy BITCONEY token?

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

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

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

Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…

☞ SIGN UP ON BINANCE

Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase BITCONEY from the exchange.

The top exchange for trading in BITCONEY token is currently: XT.COM, Bibox, and PancakeSwap (V2).

🔥 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

Find more information BITCONEY token ☞ Website

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

🔺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.

#bitcoin #cryptocurrency #token #coin 

What is GEEK

Buddha Community

What is Bitconeytoken | What is BITCONEY token

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.

#safemoon token #safemoon token clone #safemoon token clone development #defi token

Angelina roda

Angelina roda

1624230000

How to Buy FEG Token - The EASIEST Method 2021. JUST IN A FEW MINUTES!!!

How to Buy FEG Token - The EASIEST Method 2021
In today’s video, I will be showing you guys how to buy the FEG token/coin using Trust Wallet and Pancakeswap. This will work for both iOS and Android devices!
📺 The video in this post was made by More LimSanity
The origin of the article: https://www.youtube.com/watch?v=LAVwpiEN6bg
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading 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)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #feg token #token #how to buy feg token #how to buy feg token - the easiest method 2021