What is FireZard (ZARD) | What is FireZard token | What is ZARD token

In this article, we'll discuss information about the FireZard project and ZARD token. What is FireZard (ZARD) | What is FireZard token | What is ZARD token?

FireZard aims to be the first Trading Card Game which passively and instantly rewards investors in an attractive and collectible way through the technology of NFT's. We have seen project after project offer NFT’s but we have always believed NFT’s (especially in the early stages of a company) don’t hold much merit on their own. Sure they’re unique, but you still don’t know if they’ll hold any real world value or if they’ll be a sought after collectible. We wanted to fill this early void by providing an instant win reward system attached to our FireZard NFT’s.

What do we do differently?

FireZard will be the first Trading card game that will reward people passively and instantly while giving them NFTs they can collect, trade and play with. When you open our NFT packs not only do you get to keep the actual NFT itself, it has an instant dollar value attached to it which is sent straight to the investor's wallet. This gives our NFT's instant value which isn't dictated by the demand of the market.

There’s a lot of NFT’s out there but who’s to say if they’re actually worth something, especially if demand isn’t there. We wanted to combat this by providing a reward up front.

Not only will we provide value to investors, but we want to create an appealing and attractive brand. All our dragons have a distinct character, personality and appeal making them more sought after and wanted by the community.

Features

FireZard is looking to offer a number of attractive features to bring as much usecase to our token $ZARD as possible. Our goal is to reward investors while creating a fun environment for them to do it in. We will outline our core idea below and follow up with future ambitions later in this document.

1. To create a token which has an increasing price floor and rewards holders for holding.

2. To provide investors with a reason to stake and hold $ZARD.

3. Creating a reward incentive where investors who stake $ZARD can exchange their farmed tokens for NFT cards.

4. To create instant value for these NFT's by attaching a BNB reward which the investor can claim instantly.

5. To allow investors to buy, swap and sell their NFT cards on our marketplace for whatever price they wish in $ZARD.

6. To give further usecase to our NFT's by providing a Play 2 Earn gaming experience within our FireZard dApp.

Our Dragons

5 dragons, each the leader of their land. A rivalry which has spanned thousands of years across mountains, fields, oceans, caves and the sky. Neither willing to back down, it seems a clash that will echo into eternity.

The 5 elemental leaders of Fire, Ice, Plant, Electric and Water. Each with their own strengths and weaknesses, each with their advantage and disadvantage against the other.

Our 5 dragon leaders will be the basis of everything. Our game, design and FireZard brand as a whole. We have designed our characters in a way to be completely original, unique in character and personality and to be equals of their respective element.

We believe everything should start with a story. We don't see our dragons as just empty generic NFT cards, but as characters that people can develop an attachment to over time. Much like our favourite characters in TV shows, movies and anime.

The Cards

What do the numbers mean?

Each FireZard NFT Card has a distinct set of features.

Each farmed and collected “card” will be unique and have a unique identifier which can only be owned by one person at any time. This gives us the capability to create unique, collectible cards which the community can collect and be rewarded for. Cards are not only collectible, but they have an instant win prize attached to them. Cards can have an instant win value worth anything from 0.1 BNB (Uncommon) to 5 BNB (Ultra Rare)

Rarities

C - Common - 0 BNB

U - Uncommon - 0.1 BNB

R - Rare - 0.5 BNB

SR - Super Rare - 1 BNB

UR - Ultra Rare - 5 BNB

Each NFT and character will be given a specific ‘rarity’ rating and will be categorised into a specific class. This matters. Not just because there will be an extremely limited supply of rarer NFT cards for collectors, but because those higher rarity cards will also provide larger instant win rewards than those with lesser rarity. There will be a limited run of 1st Edition NFT Cards.

One thing to take note of is that all cards can be

Cards are also given a Type, Attack and Defence. Type being which element that dragon posseses, it's attack strength and it's defence strength. These values will come into play when we open our P2E gaming experience where investors can bring their best 6 cards to battle in order to win more prizes. Team building will be an integral part of our system.

Summoning

Characters are attained by either summoning them or by purchasing them from our P2P network being our marketplace.

In order to start your collection of FireZard cards, you must exchange $FLAME for packs. This can be done one by one, or you can save your farmed $FLAME in order to summon a pack of 10 at once.

1 card can be summoned at a cost of 1500 $FLAME, or 10 cards at 10,000 $FLAME.

There will be no rate difference for single or pack summons i.e the chances of you summoning a UR FireZard will always be the same percentage. The rates at which different rarities of cards can be summoned are yet to be determined.

The Marketplace

Our trainers will have the ability to buy, swap and sell their summoned FireZard NFT cards on our marketplace.

All transactions will be using $ZARD and the prices will be set and determined by the market. This creates a fair decentralised playground of bartering and trading amongst the community.

There will be a small $ZARD commission on each sale which goes back to our platform incentive wallet. This wallet will retain the tokens as $ZARD and be used for competitions, giveaways and gameplay incentives on our dApp.

The FireZard TCG

An integral part of FireZard is our aim to become not just a passive income reward scheme for investors, but a complete trading card game.

Our characters and NFT's are designed in a way to be used against each other in battle. The FireZard TCG will involve trainers bringing their best 6 cards to battle and pitting them against each other in order to win $ZARD and other prizes.

The TCG will be a turn based battle system with mechanics in place to favour those who have spent time and effort into building a well rounded team with the appropriate support.

Each dragon will have buffs and flaws against others, making it a tactical feat which doesn't solely rely on having the cards with the highest attack stats.

After the release of our 1st edition characters, we will slowly release item/buff cards which can affect the statistics of current characters. This will add another level of tactics to gameplay and make for a more level playing field.

Tokenomics

$ZARD

We begin with our token, $ZARD. The protocol we have in place uses a total tax of 12% on each transaction (sale, purchase, transfer). A portion of the protocol tax (2% per TX) is used to reward our current holders with $ZARD tokens. 7% of every TX is sent to a dedicated NFT reward address which will be entirely used to fund the instant win rewards system through a contract. 2% is then sent to our dragon, FireZard. FireZard the friendly dragon lives inside our contract, taking 1% of transactions and using the accumulated BNB to automatically purchase back tokens (adding liquidity) and then burn them after every sell. This accumulated BNB CANNOT be withdrawn or touched and is used by our contract only when needed. This buyback feature can be turned on and off as needed, allowing us to maintain long term success of the project in unfavourable market conditions. Finally, 2% is sent to a dedicated development wallet.

The token will begin with an initial supply of 1,000,000,000 (1 billion) tokens.

$ZARD will be distributed as follows.

  • 36% will be used for the IDO
  • 22% will be used for liquidity
  • 16% will be used for future platform incentives (Locked)
  • 10% team tokens (Locked)
  • 8% private sale
  • 5% game rewards (Locked)
  • 3% marketing

$FLAME

$FLAME is our stepping stone towards summoning NFT characters. $FLAME cannot be bought or sold on pancakeswap. Unlike $ZARD, $FLAME will have an unlimited supply and will be continuously minted to provide our users with the currency needed to attain the FireZard NFT’s.

Unlike other yield farming platforms, $FLAME will have no price fluctuation and will not depend on the price of $ZARD, therefore the APR will be a fixed rate of return for the entire duration only susceptible to change by the amount of $ZARD which is staked (More $ZARD staked = more $FLAME in return).

We are also looking to implement a F2P (Free to play) feature in our dApp where users don't need to buy $ZARD to earn cards. They can play for free, grind their way up and be able to summon cards at a much slower rate. This encourages new users to the platform but also incentivises them to purchase $ZARD in order to speed up their progress.

Roadmap

2021

  • Character & Core Design
  • Website & Community
  • Private Sale
  • KYC
  • Solid Group Audit
  • $ZARD Staking
  • Initial Marketing Push
  • Presale & Listing
  • Develop NFT Minting
  • Develop NFT Marketplace
  • Logic for Instant Win Reward System
  • CG & CMC Listing
  • 50+ Unique NFT Cards

2022

  • Influencer push
  • Achieve a sustainable reward economy
  • Blueprints for Battle Mechanics & Gameplay
  • PVP & PVE Blueprints
  • PVE Beta testing
  • Initial competitions
  • Battle & character animations
  • Beta Battle game released
  • Gameplay mechanics & rewards adjusted

 

  • Complete dApp Developed
  • Mobile friendly version
  • Final PVE Gameplay
  • Final PVP Gameplay
  • Introduction of item & booster NFT's
  • PVP competitions
  • Large mainstream marketing campaign
  • FireZard Merchandise
  • Begin production of FireZard animated web series

 

  • Expansion to Cardano & MATIC networks
  • 1st season of the FireZard animated series
  • Android & iOS FireZard apps
  • Release of 2nd Edition FireZard NFT's
  • New gameplay mechanics & boosters
  • Free to play system
  • Partnerships with mainstream brands

How and Where to Buy ZARD token?

 ZARD token is now live on the Binance mainnet. The token address for ZARD is 0xcF663a0ef9155BdC35a4B918BbEC75E9bFE40D2a. 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)…

☞ SIGN UP ON BINANCE

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 Binance wallet

Next step

Connect Metamask Wallet to Pancakeswap Decentralized Exchange and Buy, Swap ZARD token

Contract: 0xcF663a0ef9155BdC35a4B918BbEC75E9bFE40D2a

Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap

The top exchange for trading in ZARD token is currently: PancakeSwap (V2)

Top exchanges for token-coin trading. Follow instructions and make unlimited money

BinanceBittrexPoloniexBitfinexHuobiMXCProBITGate.ioCoinbase

🔺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 ☞ **-----https://geekcash.org-----**⭐ ⭐ ⭐

Find more information ZARD token ☞ Website 

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

#bitcoin #cryptocurrency

What is GEEK

Buddha Community

What is FireZard (ZARD) | What is FireZard token | What is ZARD 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

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aaron silva

aaron silva

1621844791

SafeMoon Clone | SafeMoon Token Clone | SafeMoon Token Clone Development

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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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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
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