What is MetaSoccer (MSU) | What is MetaSoccer token |What is MSU token

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

A blockchain soccer metaverse powered by Play to Earn games

MetaSoccer is an entire soccer universe developed on the blockchain. This is the starting point of a new paradigm in the sports ecosystem, decentralized and of which you can actively participate in multiple ways. This universe is a combination of 3 multibillion dollar markets with global impact: video games, soccer and sports betting, all merged by blockchain and NFT technologies, another multibillion dollar market that just started to take off.

MetaSoccer is also part of a new generation of video games in which the user can earn cryptocurrency for their contributions to the ecosystem. These games are known as "Play to Earn" and have recently been popularized by the success of Axie Infinity.

As a user of the MetaSoccer universe, you can earn cryptocurrency in the following ways:

Winning matches (simulated according to statistics) against other users in career mode, or against AI in friendly mode.

Finishing the season in the top positions of the league or cup in career mode
Selling players who have been discovered by your sports scouts
Borrowing players to other teams for a limited period of time
Charging commissions on the sale of future players
Selling sports scouts who have been mentored by members of your team
Getting sponsorship contracts as your team gains popularity
Betting on a winning team
Renting your stadium to other teams
Selling tickets to fans attending the stadium

A decentralized universe

The MetaSoccer universe is designed with the community at its core:

1. The MetaSoccer team will be responsible for developing and distributing the initial assets, but once published, the community will generate new assets which users will use to participate in the ecosystem.

2. The MetaSoccer team will also be responsible for developing the functionalities that enable the universe to perform well and entertain users. All assets in the universe are NFTs, allowing other developers to use these assets to create new gaming experiences or develop tools that help managers better manage their teams.

Although the project has been conceived with an initial roadmap that will be developed over the next 14 months, the full scope of the project will take several years of development. To make the community at the center of this new soccer universe, we have created the $MSU token, with which holders will be able to participate in key votes for the future of MetaSoccer.

GamePlay

You can participate in the MetaSoccer universe with two different roles:

1. As an Owner, you'll be able to establish your own Club and handle the hiring/management of personnel, discovery of new players, player signings/sales, and finance management. Your main goal will be to equip the Club with the greatest possible talent to take it to the highest level.

2. As a Manager, you'll be in charge of managing the sports area. Your responsibility will be to maximize the potential of players through a proper training plan, prepare the appropriate strategy for each match, and keep players in the best shape and mood possible. You will be responsible for the Club's sporting achievements.

Although by default one user will occupy both roles, in the future it will also be possible to share responsibility among several users. In this case, for optimal management, it will be important for Owner and Manager to be in constant communication.

TOKENOMICS

MetaSoccer Universe - $MSU

MetaSoccer Universe ($MSU) is an ERC-20 token used to perform the main actions within the MetaSoccer universe: assets purchases/sales, minting new assets... It will be accompanied by a secondary token, which is used to perform minor actions in the game.

Additionally, the $MSU holders will be able to participate in key governance votes, such as the development roadmap and how much funds from the DAO the developers can use each month.

To create a sustainable metaverse which allows a long term users adoption, we have decided to implement a Token Bonding Curve (TBC) that has control over the token supply, and continuously mints and burns tokens alongside a mathematical function.

Initially, a supply of 360M $MSU will be minted with the purpose of financing the early development & expansion of the game, and rewarding the initial batch of users & the team. 18M out of the 360M will be presold to add liquidity to the TBC and the DAO. After this presale we will open the bonding curve for trading.

Bonding Curve

Objectives

As mentioned before, the MetaSoccer universe will be based on a native token ($MSU), therefore the design of this token will directly affect the ecosystem growth and its reaction to external shocks. We believe that a successful Play-to-Earn metaverse must be sustainable, allow continuous adoption and capture long term value. To achieve this, it is really important to reduce or eliminate the potential impact of malicious actors that may target the ecosystem to make a personal profit by exploiting the true users.

Initial Problems

After exploring the more “traditional” approach of a limited supply token, we found that it wasn’t the best solution to reach our goals, since the market will have full control of the MSU price. Big price jumps can be seen as desirable, but since all users entering the game will need to buy MSU we could easily reach a point where the token is too expensive or just unavailable for them, therefore limiting game adoption and long-term growth. The opposite is also dangerous since all game rewards are MSU-based: if the price drops, the value of the rewards will drop proportionally, potentially leading to a self-destructing loop where users want to exit the metaverse to look for more profitable games. In short, a fixed supply token isn’t suited to build a dynamic and sustainable metaverse.

However, dynamic supply tokens also have their own risks. Most of the time, the project owners can unilaterally mint new tokens, adding a source of uncertainty to the metaverse actors. Early investors can reasonably see risks of dilution, and users would worry that their potential rewards will have less value than they initially expected. In some extreme cases, disproportional token minting could even lead to the full destruction of the metaverse by flooding its economy and leading to “run-to-the-bank” situations.

Bonding Curve Solutions

To avoid the downsides of a fixed supply token and the uncertainty of project-controlled ones, we’ve decided to use a TBC (Token Bonding Curve). This state-of-the-art solution was made possible thanks to the evolution of SCs (Smart Contracts) and AMMs (Automated Market-Makers).

A Token Bonding Curve is essentially a SC that has control over the token supply, and continuously mints and burns tokens alongside a mathematical function “Price = F(Total Supply)” commonly known as “The Curve”. This SC consequently acts as an on-chain AMM that ensures liquidity for anyone willing to enter/exit the metaverse. Usually, the price increases when minting and decreases when burning.

The main advantage of TBCs is that they offer a dynamic token supply but in a predictable, controlled way that can be easily simulated and they provide a “reference price” for the token over time that follows demand. By using the formula behind the Curve, it’s possible to know the reference price for a given supply, therefore creating certain and healthy expectations for the whole ecosystem. This solves the uncertainty issue with the dynamic supply token discussed previously.

Furthermore, thanks to its AMM nature, the Curve will also stabilize the prize all over the network. Even if the community creates additional exchange solutions for the token like a DEX (Decentralized-Exchange) pool, sudden price fluctuations will lead to arbitrage opportunities between them and the Curve that can be exploited by anyone (probably bots will take care) therefore stabilizing the price no matter where the token is trading.

Another interesting advantage is that the MetaSoccer TBC is configured to react softly to big buys/sells, reducing the incentives for short term speculators (“pump&dump” schemes) while ensuring new users will always be able to enter the ecosystem at a reasonable price. This supports continuous game adoption and hence the long term growth of the ecosystem. While this can be seen as an “upside limitation”, it’s also a “safety” measure when demand shrinks. Not only the price will decrease along the Curve, limiting sudden price crashes, but also the burn feature will result in a greater decrease of the Market Cap thus making the project more attractive for new users.

To sum up, the TBC adapts the MSU supply to the metaverse demand expansions and contractions by minting and burning tokens respectively. By doing so on-chain, it also eliminates the uncertainty related to manually controlled dynamic supply tokens and allows users to have healthy price expectations for a given token demand. The TBC offers a solution to the problems discussed initially, and it also supports our goals of continuous adoption and long term sustainability.

Allocation & Unlock Schedule

Total Supply at TBC opening: 360,000,000 MSU

Initial TBC Supply: 18,000,000 MSU

Private Sale Price: $0.025 (DAI)

Public Sale Price (Token Bonding Curve presale): $0.03 (DAI)

Listing Price (Token Bonding Curve opening): $0.035 (DAI)

Playing & Staking Rewards

These tokens will be distributed to incentivize players to participate in the game through competitions and other Play-to-Earn and activities

Allocation of 35% of total

Supply of 126,000,000 MSU

0% unlocked at the TGE, then 5% each month (21 months / 20 transfers)

Ecosystem

Tokens that will be used to grow MetaSoccer's community, marketing events, business development, public awareness and other community building and marketing activities. This allocation also will be used for the game development and operational expenses.

Allocation of 20% of total

Supply of 72,000,000 MSU

4% unlocked at the TGE, then 4% each month (25 months / 24 transfers)

Private Sale

Tokens reserved for a private sale

Allocation of 20% of total

Supply of 72,000,000 MSU

10% unlocked at TGE, then 2 months cliff, then unlock 5% each month (21 months / 18 transfers)

Public Sale (Token Bonding Curve liquidity)

These funds will be used to bootstrap liquidity in the Token Bonding Curve reserve pool

Allocation of 5% of total

Supply of 18,000,000 MSU

20% unlocked at the TGE, then 20% each month (5 months / 4 transfers)

Team

Tokens allocated for MetaSoccer’s strategic partners, advisors, team and shareholders.

Allocation of 15% of total

Supply of 54,000,000 MSU

0% unlocked at the TGE, then 25% each 6 months (25 months / 4 transfers)

Advisors

Tokens allocated for MetaSoccer’s strategic partners, advisors, team and shareholders.

Allocation of 5% of total

Supply of 18,000,000 MSU

0% unlocked at the TGE, then 25% every 6 months (25 months / 4 transfers)

TBC Opening

Immediately following the conclusion of the Private Sale, we will create a transaction to conclude the presale and open the bonding curve for trading. Full details coming soon.

Play to Earn

Introduction to Play to earn mechanics

Play to Earn mechanics are the latest revolution in the gaming industry. It is a model that adopts the concept of decentralized economy and provides financial benefits to users that add value by contributing to the game ecosystem.

Giving users ownership of game assets and allowing them to increase their value by playing actively, are key components of the Play to Earn games. By participating in the game economy, players are creating value for other users and for the ecosystem. In turn, they are rewarded with assets from the game itself. These digital assets can range from MSU token, to tokenized game assets such as NFT.

At MetaSoccer, our goal is to balance the two main pillars:

Immerse players into a fun and enthusiastic game environment
Provide a revenue stream for each player

Earn $MSU at MetaSoccer

In MetaSoccer, players have several ways to earn $MSU:

Winning matches (simulated according to statistics) against other users in career mode, or against AI in friendly mode.
Finishing the season in the top positions of the league or cup in career mode
Selling players who have been discovered by your sports scouts
Borrowing players to other teams for a limited period of time
Charging commissions on the sale of future players
Selling sports scouts who have been mentored by members of your team
Getting sponsorship contracts as your team gains popularity
Betting on a winning team
Renting your stadium to other teams
Selling tickets to fans attending the stadium

You can check the Roadmap to see when each one will be available.

Core loop

As a user, you can participate in the MetaSoccer universe with different roles. Although by default one user will occupy both roles, in the future it will also be possible to share responsibility among several users.

How and Where to Buy MSU token?

MSU 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 MSU 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

Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)

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 MSU from the exchange.

The top exchange for trading in MSU token is currently: DAO Maker

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

☞ Binance ☞ Bittrex ☞ Poloniex ☞ Bitfinex ☞ Huobi ☞ MXC ☞ ProBIT ☞ Gate.io ☞ Coinbase

🔺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.

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Find more information MSU 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 MetaSoccer (MSU) | What is MetaSoccer token |What is MSU token

Mohammed Richards

1659601560

Words Counted: A Ruby Natural Language Processor.

WordsCounted

We are all in the gutter, but some of us are looking at the stars.
-- Oscar Wilde

WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.

Are you using WordsCounted to do something interesting? Please tell me about it.

Demo

Visit this website for one example of what you can do with WordsCounted.

Features

Out of the box, get the following data from any string or readable file, or URL:
- Token count and unique token count
- Token densities, frequencies, and lengths
- Char count and average chars per token
- The longest tokens and their lengths
- The most frequent tokens and their frequencies.
A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

Pass in a string or a file path, and an optional filter and/or regexp.

counter = WordsCounted.count(
  "We are all in the gutter, but some of us are looking at the stars."
)

# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")

.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.

API

WordsCounted

WordsCounted.count(input, options = {})

Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.count("Hello Beirut!")

Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.

WordsCounted.from_file(path, options = {})

Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.from_file("hello_beirut.txt")

Accepts the same options as .count.

Tokeniser

The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.

Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.

#tokenise([pattern: TOKEN_REGEXP, exclude: nil])

tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise

# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")

# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)

See Excluding tokens from the analyser and Passing in a custom regexp for more information.

Counter

The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.

counter.token_frequency

[
  ["the", 2],
  ["are", 2],
  ["we",  1],
  # ...
  ["all", 1]
]

#most_frequent_tokens

Returns a hash where each key-value pair is a token and its frequency.

counter.most_frequent_tokens

{ "are" => 2, "the" => 2 }

#token_lengths

Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.

counter.token_lengths

[
  ["looking", 7],
  ["gutter",  6],
  ["stars",   5],
  # ...
  ["in",      2]
]

#longest_tokens

Returns a hash where each key-value pair is a token and its length.

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.

counter.token_density

[
  ["are",     0.13],
  ["the",     0.13],
  ["but",     0.07 ],
  # ...
  ["we",      0.07 ]
]

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.

A space-delimited string. The filter will normalise the string.
A regular expression.
A lambda.
A symbol that names a predicate method. For example :odd?.
An array of any combination of the above.

tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Contributors

See contributors.

Contributing

Fork it
Create your feature branch (git checkout -b my-new-feature)
Commit your changes (git commit -am 'Add some feature')
Push to the branch (git push origin my-new-feature)
Create new Pull Request

Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license

#ruby #ruby-on-rails

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")

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

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 ])

counter.token_density

[
  ["are",     0.13],
  ["the",     0.13],
  ["but",     0.07 ],
  # ...
  ["we",      0.07 ]
]

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.

A space-delimited string. The filter will normalise the string.
A regular expression.
A lambda.
A symbol that names a predicate method. For example :odd?.
An array of any combination of the above.

tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

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.

RubyDoc documentation.

Demo

Visit this website for one example of what you can do with WordsCounted.

Contributors

See contributors.

Contributing

Fork it
Create your feature branch (git checkout -b my-new-feature)
Commit your changes (git commit -am 'Add some feature')
Push to the branch (git push origin my-new-feature)
Create new Pull Request

Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted
License: MIT license

#ruby #nlp

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

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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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!
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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
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