1618880936
What is Safe Universe (SAFU) | What is Safe Universe token | What is SAFU token
In this article, we’ll discuss information about the Safe Universe project and SAFU token
A Frictionless Yield Generation, Community Driven Protocol.
$SAFU Token is tokenized in such a way that price will never ever fall below the indexed price based on basket of similair SAFE-Assets.
How $SAFU Token works as a hedge against rug/smart contract attack?
Nowadays many SAFE-xyz autonomous tokens solely dependent on smart contract are in market, this can be manipulated either ways be it rug pull or smart contract vulnerability. This is what differs $SAFU Token from others, liquidity addition / token burn are randomized manually following strict formula in both indexing, token burning.
Index Formula - (SAFE-X Token + SAFE-Y Token + SAFE-Z Token)/(No. of tokens)
So, suppose if a SAFE-xyz Token gets attacked or does rug pull that will have a minimal affect to Total Index value. Holding $SAFU logically and technically aligns with its name itself, no assest will be as SAFE as $SAFU.
How Does Team Benefits from $SAFU Project?
Our one and only aim is to keep building our Liquidity Pool Stronger, this will benefit both community and team.
Higher the LP Value, the lesser manipulation can be done by whales.
This also benefits us since our team gets the daily trading/LP fees generated by trading in Pancakeswap.
How Daily Token Burn Function works?
Token burn also uses a unique formula to burn (x) amount of tokens Seven times in a week, daily burning time is randomized so as to avoid last minute manipulation.Since its community driven protocol, amount of token to be burnt also depends on community growth via following formula,
Token Burn Formula : (x) amount of $SAFU Tokens to be burnt = Daily Transactions (X)% increase/decrease of $SAFU Holders X 1,000,000 $SAFU.
Does this mean $SAFU price will always stay stable to index value?
No, infact we will list at a price higher than index value.
If in any case price comes 15% in confluence to index price, our reserves / buy-back feature will make sure it never comes any closer to the index value.
Price can very well go 2-10-100X+ and will be indepenedent with no confluence to index value.
We will keep on adding/pooling many assets in our Index asset basket, which will infact reduce any market risk to worlds safest token $SAFU.
If any project want to become partner and want to pool their token our basket, they have to buy certain amount of $SAFU-BNB LP tokens which will play a significant role in buy-back feature.
Indexing From Various SAFE Assets
Nowadays many SAFE-xyz autonomous tokens solely dependent on smart contract are in market, this can be manipulated either ways be it rug pull or smart contract vulnerability. This is what differs SAFU Token from others, liquidity addition / token burn are randomized manually following strict formula in both indexing, token burning.
Index Formula —>
(SAFE-X Token + SAFE-Y Token + SAFE-Z Token)/Total No. of tokens
So, suppose if a SAFE-xyz Token gets attacked or does rug pull that will have a minimal affect to Total Index value.Holding SAFU logically and technically aligns with its name itself, no assest will be as SAFE as SAFU.
For Example-
Lets Assume, 3 Assets are in Indexing Basket →
SAFE MARS = 0.00000004669 $
SAFE STAR= 0.00000001763 $
SAFE GALAXY= 0.00000002990 $
Index Value will be = (0.00000004669+0.00000001763+0.00000002990)/3
=0.00000003140
Does this mean SAFU price will always stay stable to index value?
No, infact we will list at a price higher than index value. If in any case price comes 15% in confluence to index price, our reserves / buy-back feature will make sure it never comes any closer to the index value. Price can very well go 2–10–100X+ and will be indepenedent with no confluence to index value. We will keep on adding/pooling many assets in our Index asset basket, which will infact reduce any market risk to worlds safest token $SAFU.If any project wans to become partner and want to pool their token our basket, they have to buy certain amount of SAFU-BNB LP tokens which will play a significant role in buy-back feature.
Tokenomics
$SAFU Token has Total Supply of 1,000,000,000,000,000 since the whole concept is community driven, initial circulating supply also depends on how many tokens are sold off in presale, after launch there will be Daily Token Burn / LP addition by our unique formula which will make it a truly deflationary token.
$SAFU Team benefits only from LP fees generated from Pancakeswap.(Formula Details in below section)Join Public Sale!
Deflationary Mechanism: Daily Token Burn Function-
Token burn also uses a unique formula to burn x amount of tokens 7 times in a week, daily burning time is randomized so as to avoid last minute manipulation. Since its community driven protocol,amount of token to be burnt also depends on community growth via following formula,
Token Burn Formula-
Amount of SAFU Tokens to be burnt =
Daily Transactions X increase/decrease % of SAFU Holders X 1,000,000,000 SAFU
For Example-
Lets Assume;
Holders Change 1000 → 1500 → 50% increase
Daily Transactions- 3000
So, the tokens to be burned will be,
0.5 X 3000 X 1,000,000,000 = 1,500,000,000,000 SAFU Tokens
Which is 1.5% of the total Supply
Roadmap
Q1-2021
*SAFU Presale/Succesfull Launch
*Airdrop Lottery Distribution
*Promotion/Marketing
*Website Redesign
*Optimizing LIVE Data Feed
Q2-2021
*Organizing Scheduled Innovative Airdrop Contest for SAFU Community
*Coingecko/Coinmarketcap Listing
*Multiple Exchange Listings
*Unique Lottery Ticket Programme For SAFU Holders
*Partnerships with Innovative Projects
Q3-2021
*Introduce Gamify Defi through various Arcade Games. Connect Wallet Become High Scorer and claim Free SAFU Tokens
*Introducting cross-chain NFT Functionality.SAFU Holders can deploy personalised NFT with no code required.Allowing SAFU Holders to mint Limited Edition NFT’s by staking them.
Q4-2021
TBA
How To Participate In Bounceswap Pool?How to add Token in Trust wallet/Metamask? Step by step Guide
Just be sure you have enough BNB in your wallet to cover the transaction fees.
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)…
Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)
Next step
FOR TRUST WALLET USERS
If you don’t have a Wallet, read this article and follow the steps
☞What is Trust Wallet | How to Create a wallet and Use
Step 1- Open Your Trust Wallet App, click DApps
**Step 2- Paste the bounceswap link **https://app.bounce.finance/fixed-swap/5533
Step 3- Paste it and press ☑ in Keyboard
Step 4- Click this Icon
Step 5- Now click Smart Chain, This step is important or else you will get redirected to some other token pool
Step 6- If you see a page like this click Metamask, Yeah it may sound weird that using Trust wallet but clicking Metamask, but this is the solution
Step 7- Now Scroll down and enter the amount of BNB you would like to participate with, the hit GO then Approve Transaction. Thats it, after approving token will be sent to your address instantly
For Metamask Users-
If you don’t have a Wallet, read this article and follow the steps
☞What is Metamask wallet | How to Create a wallet and Use
Step 1-Click this
Step 2- Click Networks
Step 3-
Step 4- Enter this details and add
Step 5- Now Come back and click browser
**Step 6- Paste the bounceswap URL **https://app.bounce.finance/fixed-swap/5533
Step 7- Select Metamask
Step 8-
Step 9- Enter whatever amount of BNB you would like to participate with
Step 10-
Step 11- Confirm That’s It you will receive SAFU token instantly
Adding SAFU Token in Wallet
Trust Wallet Users-
Step1 — Click Receive
Step 2- Type SAFU Here
Step 3- Now Click SAFU logo it should then get added in your wallet
Metamask Users-
Step 1- Click Add tokens
Step 2- Paste Contract Address
0x16Feb16F7Ee2190312D03f449eeEc2339add2D83
it should automatically fill name and decimal if it doesn’t then manually enter them and click Add Token
Step 3- Thats It
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
There are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once SAFU gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!
Top exchanges for token-coin trading. Follow instructions and make unlimited money
☞ https://www.binance.com
☞ https://www.bittrex.com
☞ https://www.poloniex.com
☞ https://www.bitfinex.com
☞ https://www.huobi.com
Find more information SAFU
☞ Website: https://safeuniverse.net
☞ Follow Airdrop Bot Tasks- https://t.me/SAFU_Airdropbot
☞ Join Our Telegram Channel- https://t.me/SAFUniverse
☞ Join Telegram Discussion Group- https://t.me/SafeUniverseGroup
☞ Follow our Twitter Page https://twitter.com/SAFUniverse Retweet the pinned post and tag 3 friends
☞ Follow our Medium Channel https://safuniverse.medium.com/
🔺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. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ -----CLICK HERE**-----**⭐ ⭐ ⭐
Thank for visiting and reading this article! Please don’t forget to leave a like, comment and share!
#blockchain #bitcoin #safu #safe universe
What is GEEK
Buddha Community
1618880936
What is Safe Universe (SAFU) | What is Safe Universe token | What is SAFU token
In this article, we’ll discuss information about the Safe Universe project and SAFU token
A Frictionless Yield Generation, Community Driven Protocol.
$SAFU Token is tokenized in such a way that price will never ever fall below the indexed price based on basket of similair SAFE-Assets.
How $SAFU Token works as a hedge against rug/smart contract attack?
Nowadays many SAFE-xyz autonomous tokens solely dependent on smart contract are in market, this can be manipulated either ways be it rug pull or smart contract vulnerability. This is what differs $SAFU Token from others, liquidity addition / token burn are randomized manually following strict formula in both indexing, token burning.
Index Formula - (SAFE-X Token + SAFE-Y Token + SAFE-Z Token)/(No. of tokens)
So, suppose if a SAFE-xyz Token gets attacked or does rug pull that will have a minimal affect to Total Index value. Holding $SAFU logically and technically aligns with its name itself, no assest will be as SAFE as $SAFU.
How Does Team Benefits from $SAFU Project?
Our one and only aim is to keep building our Liquidity Pool Stronger, this will benefit both community and team.
Higher the LP Value, the lesser manipulation can be done by whales.
This also benefits us since our team gets the daily trading/LP fees generated by trading in Pancakeswap.
How Daily Token Burn Function works?
Token burn also uses a unique formula to burn (x) amount of tokens Seven times in a week, daily burning time is randomized so as to avoid last minute manipulation.Since its community driven protocol, amount of token to be burnt also depends on community growth via following formula,
Token Burn Formula : (x) amount of $SAFU Tokens to be burnt = Daily Transactions (X)% increase/decrease of $SAFU Holders X 1,000,000 $SAFU.
Does this mean $SAFU price will always stay stable to index value?
No, infact we will list at a price higher than index value.
If in any case price comes 15% in confluence to index price, our reserves / buy-back feature will make sure it never comes any closer to the index value.
Price can very well go 2-10-100X+ and will be indepenedent with no confluence to index value.
We will keep on adding/pooling many assets in our Index asset basket, which will infact reduce any market risk to worlds safest token $SAFU.
If any project want to become partner and want to pool their token our basket, they have to buy certain amount of $SAFU-BNB LP tokens which will play a significant role in buy-back feature.
Indexing From Various SAFE Assets
Nowadays many SAFE-xyz autonomous tokens solely dependent on smart contract are in market, this can be manipulated either ways be it rug pull or smart contract vulnerability. This is what differs SAFU Token from others, liquidity addition / token burn are randomized manually following strict formula in both indexing, token burning.
Index Formula —>
(SAFE-X Token + SAFE-Y Token + SAFE-Z Token)/Total No. of tokens
So, suppose if a SAFE-xyz Token gets attacked or does rug pull that will have a minimal affect to Total Index value.Holding SAFU logically and technically aligns with its name itself, no assest will be as SAFE as SAFU.
For Example-
Lets Assume, 3 Assets are in Indexing Basket →
SAFE MARS = 0.00000004669 $
SAFE STAR= 0.00000001763 $
SAFE GALAXY= 0.00000002990 $
Index Value will be = (0.00000004669+0.00000001763+0.00000002990)/3
=0.00000003140
Does this mean SAFU price will always stay stable to index value?
No, infact we will list at a price higher than index value. If in any case price comes 15% in confluence to index price, our reserves / buy-back feature will make sure it never comes any closer to the index value. Price can very well go 2–10–100X+ and will be indepenedent with no confluence to index value. We will keep on adding/pooling many assets in our Index asset basket, which will infact reduce any market risk to worlds safest token $SAFU.If any project wans to become partner and want to pool their token our basket, they have to buy certain amount of SAFU-BNB LP tokens which will play a significant role in buy-back feature.
Tokenomics
$SAFU Token has Total Supply of 1,000,000,000,000,000 since the whole concept is community driven, initial circulating supply also depends on how many tokens are sold off in presale, after launch there will be Daily Token Burn / LP addition by our unique formula which will make it a truly deflationary token.
$SAFU Team benefits only from LP fees generated from Pancakeswap.(Formula Details in below section)Join Public Sale!
Deflationary Mechanism: Daily Token Burn Function-
Token burn also uses a unique formula to burn x amount of tokens 7 times in a week, daily burning time is randomized so as to avoid last minute manipulation. Since its community driven protocol,amount of token to be burnt also depends on community growth via following formula,
Token Burn Formula-
Amount of SAFU Tokens to be burnt =
Daily Transactions X increase/decrease % of SAFU Holders X 1,000,000,000 SAFU
For Example-
Lets Assume;
Holders Change 1000 → 1500 → 50% increase
Daily Transactions- 3000
So, the tokens to be burned will be,
0.5 X 3000 X 1,000,000,000 = 1,500,000,000,000 SAFU Tokens
Which is 1.5% of the total Supply
Roadmap
Q1-2021
*SAFU Presale/Succesfull Launch
*Airdrop Lottery Distribution
*Promotion/Marketing
*Website Redesign
*Optimizing LIVE Data Feed
Q2-2021
*Organizing Scheduled Innovative Airdrop Contest for SAFU Community
*Coingecko/Coinmarketcap Listing
*Multiple Exchange Listings
*Unique Lottery Ticket Programme For SAFU Holders
*Partnerships with Innovative Projects
Q3-2021
*Introduce Gamify Defi through various Arcade Games. Connect Wallet Become High Scorer and claim Free SAFU Tokens
*Introducting cross-chain NFT Functionality.SAFU Holders can deploy personalised NFT with no code required.Allowing SAFU Holders to mint Limited Edition NFT’s by staking them.
Q4-2021
TBA
How To Participate In Bounceswap Pool?How to add Token in Trust wallet/Metamask? Step by step Guide
Just be sure you have enough BNB in your wallet to cover the transaction fees.
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)…
Step by Step Guide : What is Binance | How to Create an account on Binance (Updated 2021)
Next step
FOR TRUST WALLET USERS
If you don’t have a Wallet, read this article and follow the steps
☞What is Trust Wallet | How to Create a wallet and Use
Step 1- Open Your Trust Wallet App, click DApps
**Step 2- Paste the bounceswap link **https://app.bounce.finance/fixed-swap/5533
Step 3- Paste it and press ☑ in Keyboard
Step 4- Click this Icon
Step 5- Now click Smart Chain, This step is important or else you will get redirected to some other token pool
Step 6- If you see a page like this click Metamask, Yeah it may sound weird that using Trust wallet but clicking Metamask, but this is the solution
Step 7- Now Scroll down and enter the amount of BNB you would like to participate with, the hit GO then Approve Transaction. Thats it, after approving token will be sent to your address instantly
For Metamask Users-
If you don’t have a Wallet, read this article and follow the steps
☞What is Metamask wallet | How to Create a wallet and Use
Step 1-Click this
Step 2- Click Networks
Step 3-
Step 4- Enter this details and add
Step 5- Now Come back and click browser
**Step 6- Paste the bounceswap URL **https://app.bounce.finance/fixed-swap/5533
Step 7- Select Metamask
Step 8-
Step 9- Enter whatever amount of BNB you would like to participate with
Step 10-
Step 11- Confirm That’s It you will receive SAFU token instantly
Adding SAFU Token in Wallet
Trust Wallet Users-
Step1 — Click Receive
Step 2- Type SAFU Here
Step 3- Now Click SAFU logo it should then get added in your wallet
Metamask Users-
Step 1- Click Add tokens
Step 2- Paste Contract Address
0x16Feb16F7Ee2190312D03f449eeEc2339add2D83
it should automatically fill name and decimal if it doesn’t then manually enter them and click Add Token
Step 3- Thats It
Read more: What is Pancakeswap | Beginner’s Guide on How to Use Pancakeswap
There are a few popular crypto exchanges where they have decent daily trading volumes and a huge user base. This will ensure you will be able to sell your coins at any time and the fees will usually be lower. It is suggested that you also register on these exchanges since once SAFU gets listed there it will attract a large amount of trading volumes from the users there, that means you will be having some great trading opportunities!
Top exchanges for token-coin trading. Follow instructions and make unlimited money
☞ https://www.binance.com
☞ https://www.bittrex.com
☞ https://www.poloniex.com
☞ https://www.bitfinex.com
☞ https://www.huobi.com
Find more information SAFU
☞ Website: https://safeuniverse.net
☞ Follow Airdrop Bot Tasks- https://t.me/SAFU_Airdropbot
☞ Join Our Telegram Channel- https://t.me/SAFUniverse
☞ Join Telegram Discussion Group- https://t.me/SafeUniverseGroup
☞ Follow our Twitter Page https://twitter.com/SAFUniverse Retweet the pinned post and tag 3 friends
☞ Follow our Medium Channel https://safuniverse.medium.com/
🔺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. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ -----CLICK HERE**-----**⭐ ⭐ ⭐
Thank for visiting and reading this article! Please don’t forget to leave a like, comment and share!
#blockchain #bitcoin #safu #safe universe
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
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.
- 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
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.
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
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