What is Multiverse (MVS) | What is Multiverse token | MVS token

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

Ever since bitcoin (Nakamoto, 2009) in 2009, blockchain technology has drastically evolved and changed the world. While DeFi applications aim to replace traditional financial systems, such as banks and exchanges, the idea of metaverse emerges even to recreate our world in virtual reality on the internet. Though the idea might sound aggressive, as the graphics, sounds and VR devices evolve, the gaming experience becomes more and more realistic. People began to question what is real and what is virtual?

The human quest for the truth of our world dates back to the inception of human history. The bible said, “In the beginning, God created the heavens and the earth. Now the earth was formless and empty, darkness was over the surface of the deep, and the Spirit of God was hovering over the waters. And God said, ‘Let there be light,’ and there was light.” In Tao Te Ching (Laozi et al., 2007), Lao Tzu talked about his view on the origin of our world, “There was something undefined and complete, coming into existence before Heaven and Earth”; “The Dao produced One; One produced Two; Two produced Three; Three produced All things.” Recent successful movies like the Marvel Cinematic Universe, the Matrix Trilogy (Wachowski et al., 1999) and Rick and Morty (Genovesi, 2020) have all talked about the creator, dimensionality, and multiverse from different perspectives.

Today, scientists found that the quantum mechanics has reached beyond the known physical realm that consciousness is a fundamental component of the nature of our world. Shockingly, one might find the quantum theory shares similar aspects with the ancient buddha’s views on the universe and mindfulness. For thousands of years, we have been kept seeking the answer to the question: what is our reality? Let us for now call the world we live in real and the world we create virtual.

The definition of the metaverse is the hypothesized next iteration of the internet, supporting decentralized, persistent online 3D virtual environments, according to (Ondrejka, 2004). Metaverses have become increasingly popular among millions wordwide due to there being an endless amount of possibilities to whom a person can be and what they can do in them. The lure of escapism is one of the main drivers that attracts so many to want to be completely different from what they are like in the real world. Numerous entertainment and social media companies have invested in metaverse-related research and development and expanded the use of metaverse spaces to social, games, business, education, and retail applications.

Drawbacks of Centralized Metaverses

The problem of existing metaverse projects is that their currency is highly centralized or controlled by the metaverse creators. Players are at high risk due to mainly these reasons,

• The creator has the power to mint new tokens depreciating players’ assets.

• The creator holds a considerable portion of tokens, having the possibility to dump their holdings, thus triggering a panic selling or rug pull (abandon the project and run away with funds).

• The tokenomics is not transparent. The exact token mechanism and distribution might not be apparent to the public.

• Project intrinsic risk. The developers might choose a very wrong path causing its metaverse to lose players’ interests; or generate a severe bug causing a financial crisis.

To tackle these problems, the multiverse ecosystem is proposed. The model consists of two components, a multiverse coin and a multiverse NFT.

One Coin Traverses all Metaverses

We highlight the key features of the multiverse coin:

• First, the coin is decentralized. All coins are in circulation on the market. 3

• Second, only specific amounts of coins are generated and mined per block, giving the coin a deflationary model with a fixed max supply, similar to bitcoin.

• Third, the coin is bridged with all metaverses, making the exchange fast and straightforward.

The first and second features ensure that the multiverse coin is safe and a good store of value. The third feature provides flexibility and convenience. Users can exchange the coins for tokens when they participate in certain metaverses and change their tokens back to the coins at any time, in a second, when they decide to lock the profit. By connecting all metaverses into a multiverse ecosystem, the multiverse coin is the medium of exchange. Players and creators are free to exchange and store value for the first time without worrying about a third party.

Philosophy in Multiverse NFT

Non-fungible tokens (NFTs) are cryptographic assets on blockchain with unique identification codes and metadata that distinguish them from each other (Ante, 2021). The NFT can be associated with a particular digital or physical asset and a license to use the asset for a specified purpose. Traditionally, NFT has been used in including digital art, games, virtual festivals, music, films. More advanced applications include property rights, real estate, particular privileges, and identities

One could think of NFT as a one-to-one mapping that maps X to an NFT. The next question that comes to mind is about NFT’s value. Who exactly sets the price is a common question for those who have never dealt with NFTs or blockchain technologies before. Historically, the economic value of a good or service has puzzled economists since the beginning of the discipline. Among the competing schools of economic theory there are differing theories of value. In classical economics, the value of an object or condition is the amount of discomfort/labor saved through the consumption or use of an object or condition (Desai, 2010). In neoclassical economics, the value of an object or service is often seen as nothing but the price it would bring in an open and competitive market. It is determined primarily by the demand for the object relative to supply in a perfectly competitive market. The idea of value has evolved throughout human history.

NFTs are not restricted to typical assets such as conventional paintings with a real-world value attached to them. They also extend to virtual content such as social media posts that usually come without a price tag. According to (Chang, 2020), NFT can be valued as a function of four components: utility, ownership history, future value, and liquidity premium. The key takeaway is that NFT creates many new ways for values to be created for both developers and asset owners.

Fundamental Elements in Multiverse and Scarcity

Here, we elaborate from one perspective that valuation is driven by scarcity of supply and speculation. Scarcity means that the demand for a good or service is greater than the availability of the good or service (Society, 2020). Things on earth that are considered limited, like gold, diamonds, or certain kinds of knowledge, are more valuable for being scarce because sellers of these goods and services can set higher prices. Sellers know that because more people want their goods or services than goods and services available, they can find buyers at a higher cost. As a result, the price or value goes up.

In the multiverse with all metaverses, we define the multiverse NFT as the fundamental element, a limited original resource. A multiverse coin provides the utility to store and exchange value. Together, the coin and NFT, just like Yin and Yang (Wong, 1997) serve the decentralized currency in the multiverse.

Proof of NFT Stake and Environmental Impact

Bitcoin is thought to consume 707 kwH per transaction (Gallersdörfer et al., 2020). In addition, the computers consume additional energy because they generate heat and need to be kept cool. A University of Cambridge analysis estimated that bitcoin mining consumes 121.36 terawatt hours a year. This is more than all of Argentina consumes, or more than the consumption of Google, Apple, Facebook and Microsoft combined.

pple, Facebook and Microsoft combined. The multiverse ecosystem solves the energy problem by mapping resources and mining machines to multiverse NFTs. Proof of NFT Stake does not require computational power to solve puzzles for the right to verify transactions. Rather it works like a lottery. To be considered, potential validators stake their multiverse NFTs; the more they stake, the greater their chances of being selected randomly by the system to be the validator. The system ensures security because if validators cheat or accept false transactions in the block, they lose their NFT stakes and are banned from the network.

Multiverse Ecosystem

Multiverse Coin: A coin connecting all metaverses provides a decentralized way to store, account, and exchange values.

Multiverse NFT: Multiverse NFT is the fundamental resource in the multiverse and the resource to mine the multiverse coin.

Traverses all Metaverses: Users can exchange the MVS for tokens when they participate in specific metaverses and change their tokens back to the coins instantly to lock the profit.

Tokenomics and Mining

The max supply of the multiverse coin is 20 billion. Five billion coins are locked in liquidity pools as the initial circulation. Initial liquidity is added 100 percent; there is no presale, private unlocks, or dev holdings. The remaining 15 billion coins are locked in the mining pool as rewards.

On BSC, every 3 seconds, a new block is generated. Every block generates 120 coins as a reward which are mined and distributed. The reward will be reduced by half every 42,048,000 blocks (approximately every four years).

The initial circulation is 5 billion coins in 2021. The mining reward is 120 coins per block. 4 years later, another 5 billion coins are mined and added to the circulation, leaving 10 billion inside the mining pool. After 2025, the mining reward is reduced by half to 60 coins per block. At the end of 2031, the mining reward will be reduced to 15 coins per block

Multiverse NFT is the resource in the multiverse. By staking multiverse NFTs, users can mine multiverse coins.

• Each multiverse NFT has a computation power of 1.

• Mining rewards are distributed to staked NFTs.

• Multiverse NFT is free to be traded and exchanged on the market.

Compared with bitcoin proof of work mining, multiverse coin mining does not compete in hash rate or cost electricity. This proof of NFT stake mining has several advantages,

• Zero Energy Consumption

Much of the impetus for multiverse coin mining is avoiding the tremendous amount of energy proof of work demands while preserving the same profit level.

• Flexible Design.

Unlike bitcoin mining, which often requires enormous effort to set up mining machines and infrastructures, multiverse coin mining can be highly flexible. Miners choose to stake or unstake; trade in or out, instantly.

• Strong Incentives.

Due to the hash rate competition and bitcoin reward reduction, the infrastructure demand is way higher than before but with less profit. The economic interest makes multiverse coin mining much more attractive.

Roadmap

Multiverse Coin and NFT

Launch of the coin and NFT
Development of the mining and market
DApp entrance and websites
Marketing push to spread multiverse ideology
Multiverse DAO and community

Multiverse Bridge/Swap

Launch of the MultiverseSwap
Development of the Multiverse Bridge: Exchange, liquidity, farm, pool, vault, and bridge
Multiverse NFT museum
Influencers marketing push
Listing on major exchanges
Third-party audit

Multiverse Ecosystem

Launch of the Multiverse Investment Fund
Investment and development on more metaverses
Expansion of multiverse to art, finance, entertainment, and technology
1T market cap
Proof of NFT Stake
Multiverse ETF and trust

How and Where to Buy MVS token?

MVS token is now live on the Binance mainnet. The token address for MVS is 0x98Afac3b663113D29dc2Cd8C2d1d14793692F110. 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 2022)

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 MVS token

Contract: 0x98Afac3b663113D29dc2Cd8C2d1d14793692F110

The top exchange for trading in MVS token is currently: PancakeSwap (V2), DODO BSC

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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

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.

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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!
📺 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
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

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