What is Jarvis Network (JRT) | What is Jarvis Network token | What is JRT token

Decentralized finance?

Decentralized finance (or DeFi) is a financial system whose infrastructure is based on a Blockchain, and is therefore open, transparent, and fully programmable.

  • As such, it allows recreating existing financial services and products ( insurance,  trading,  derivatives,  loans,  rental properties, etc.) on a Blockchain;
  • but it also allows to innovate with products previously synonymous with science fiction ( lotteries or  donations without loss of money, assets that self-generate interest, etc.);
  • these products inherit Blockchain features and are therefore auditable, and can be  automated and become entirely autonomous;
  • eventually, it gives everyone access to all these investment products and solutions that were prior reserved for institutional investors ( liquidity provision,  hedge funding, etc.).

The Jarvis Network

Visit  https://jarvis.network

Jarvis network is a set of protocols on Ethereum for universalizing and uberizing finance and more particularly — financial products and markets. It is owned by a DAO.

Jarvis “Blockchainizes” traditional financial markets to make them open, transparent, interoperable and programmable, and eventually disintermediate them.

These protocols allow users to gain exposure to the prices of any financial instrument via margin trading and/or synthetic assets (for convenience, we will say that users trade, invest, open positions in these instruments) and/or provide the liquidity required for these protocols to run smoothly.

Margin Protocol

A trust-minimized off-chain trading protocol

This protocol allows users to open leveraged positions on different markets such as Forex, indices, stocks or cryptocurrencies, collateralized by Dai.

**They trade against liquidity pools supplied by liquidity providers **(LP) who set their rules (spread, commissions, leverage, supported markets, price source, etc.), effectively uberizing brokerage. LPs can run “No Dealing Desk” or “Dealing Desk” node to hedge their exposure or run a sophisticated market making strategy with their brokers, exchanges or other institutional partners.

Synthetic protocol (Synthereum)

An on-chain trading protocol

Leveraging from the  UMA platform, this protocol allows users to create tokens that track the price of any traditional or digital asset. They can be converted directly with the smart contract, without a counterparty, spread, or slippage: instead of an exchange taking place between a buyer and a seller, the user burns a token (1 synthetic EUR) and atomically mint another one of the same value (0.8 synthetic GBP).

They deposit their collateral in liquidity pools supplied by LPs who are responsible for ensuring the over-collateralisation of the assets minted. This obligation poses a financial risk to LPs that they can hedge via the Margin protocol.

Jarvis Reward Token (JRT)

The JRT is a utility token for securing and governing the protocols, respectively through **staking **and through a DAO, and aims at rewarding the agents who would bring value to the ecosystem.

  • the DAO vote on multiple settings and on propositions to improve the network
  • the DAO manage a 100M Reward Funds to distribute JRT across various reward program, to incentivize those who bring value to the ecosystem;
  • the DAO collect all the fees and decide how to best allocate them to serve the interest of the network and the JRT holders;
  • JRT is staked by validators and relayers to align their interests with those of the protocols.

The Apps

dApps integrating one of the protocols have the possibility to add a fee to generate revenue, in which case part of it will be used to automatically buy back JRTs from the markets and burn them.

Even though anyone can develop an application on the top of the protocols, we have opened different companies in different jurisdictions to be the first to do so and to provide seamless decentralized applications (dApps) to end-users to interact with the protocols: Jarvis market and Jarvis wallet.

Jarvis market

Image for post

Jarvis market allows interacting with the Margin and Synthetic protocols. It is a trading platform for active investors which provides spot and margin trading.

The Spot trading mode aggregates liquidity across several Cex and Dex to allow users to trade any ERC20 tokens (and therefore synthetic assets) at the best prices.

Eventually, the platform will offer social features by integrating 3box and Set Protocol for example.

Jarvis market uses Jarvis trader, a standalone proprietary trading platform that allows traders to connect to several traditional exchanges and brokers.

Jarvis wallet

Image for post

Built on  Gnosis Safe and UniloginJarvis wallet is a smart contract wallet closer to Revolut than to Trust wallet: no private key, no cryptic address, no gas and … no “crypto”. Leveraging from the Synthetic protocol, the base currency of the wallet is not Ether or Dai, but synthetic Euros, Swiss francs or any of the 30 synthetic fiat currencies that the protocol will support.

Thanks to open banking and our partner Ramp.network, Jarvis users can seamlessly connect their bank and instantly buy Dai which will automatically be converted into jEUR, jCHF or jGBP, free of charge and without KYC.

Users then access a dashboard presenting several natively integrated financial services: savings and credit account (Compound, Aave etc.), portfolio management (stocks, cryptos, metals, etc.), real estate (realT, etc.) insurance, lottery, art, games etc. Savvy users will be able to use their wallet to connect to decentralized applications effectively accessing more services, thanks to Unilogin or WalletConnect.

Token distribution

This article will help you understand how the $JRT token supply will evolve in the next 10 years. We will start with the DAO and team token distribution before diving into the token sales one.

DAO treasury

The DAO was seeded with 100M $JRT. Around 9M $JRT have been distributed through two incentives programs in 2020.

The 91M $JRT remaining would need to be distributed through incentives programs, trading competitions and grants for the next 10 years (the DAO will receive 10M $JRT per year).

The DAO will also have to manage a smart Balancer pool with JRT-USDC.

Team distribution

The Jarvis LTD company received 40M $JRT. A maximum of 3M $JRT will be shared every year for at least the next 10 years among the team members. 10M $JRT have been allocated to liquidity provision on Uniswap, Sushiswap, Balancer, Bitmax and Switcheo.

The participants to these first sales have quite unique features:

  • unlike most of the ICOs, Jarvis’ happened among a french community of non-crypto people, mostly Forex traders, moved by the exciting idea of a Finance 3.0;
  • some of them do not even have wallets yet, they just follow the project, waiting for the DAO to be launched;
  • only a handful withdraw their initial investment, but most of them did not sell their JRT during the summer craze.

Image for post

420 participants bought 291,707,869.96 $JRT

  • 30,621,093.30 tokens were unlocked and claimable from December 2019
  • 261,086,776.66 tokens are locked and will be gradually claimable for the next two years starting from January 2021

Token unlocked distribution

  • 19.76M $JRT have been claimed by 197 participants (46.9%) and sent to them;
  • 4.09M $JRT have been claimed by 39 participants (9.3%) who decided not to receive them; they expressed their will to wait for the launch of the DAO and to stake them there directly;
  • 6.75M $JRT remain unclaimed by 184 participants (43.8%).

Token locked distribution:

Locked tokens were supposed to be locked within the DAO, and unlocked gradually every second for 2 years; since the DAO is not launched yet, we asked our community whether they would like to start receiving them every week until the DAO is launched, and then lock the leftovers within the latter, or to simply wait for the DAO launch; a large number of beneficiaries requested to lock their bonus tokens directly in the DAO.

  • 58.24M $JRT have been claimed by 104 participants, who are now receiving 1/104e of that amount every week until the launch of the DAO; this amounts for 560k $JRT per week.
  • 134M $JRT have been claimed by 74 participants, who requested to wait for the launch of the DAO to lock them directly in there;
  • 67M $JRT remain unclaimed by 242 participants; if the tokens are not claimed by end of March 2021, they will either be burned or added to the DAO treasury.

Numbers show that 58 participants who claimed and received their unlocked tokens did not claim their unlocked token yet.

Distribution breakdown of the 2020 token sale

Image for post

112 participants bought 98,452,086.58 $JRT

  • 31,683,717.68 $JRT were unlocked after 90 days;
  • 66,768,668.90 $JRT were unlocked after 180 days.

90 days locked tokens distribution

  • 27.58M $JRT have been claimed by 85 participants, and were sent to them;
  • 2.47M $JRT have been claimed by 14 participants, but they expressed their will to wait for the launch of the DAO to receive them, in order to stake them directly;
  • 1.64M $JRT remain unclaimed by 7 participants.

180 days locked tokens distribution

  • 17.31M $JRT have been claimed by 46 participants, and were sent to them;
  • 45.93M $JRT have been claimed by 46 participants, but they expressed their will to wait for the launch of the DAO;
  • 3.54M $JRT remain unclaimed by 20 participants.

Our first article about the token distribution had a pretty violent reaction ($JRT price went from 30c down to below 10c), as many recent buyers were afraid that investors will “dump on them” immediately after the release of the tokens. However, these numbers show that the large majority of $JRT holders are patient and have long-term commitment who asked to postpone the release; on-chain data shows that the vast majority of the ones who received their tokens did not sell them, and the number of holders has been growing.

Image for post

Locked token within the DAO

Around 193M locked $JRT in the DAO will be gradually unlocked every second, until January 2023. Unlocked tokens can be claimed by the investors at any time, adding them into the circulation supply. The DAO will of course be able to prolong this period.

Participating in the governance will require staking $JRT within the DAO, and lock them for 1 to 3 months depending on the voting power the participants want to acquire. Participants will be able to vote with their unlocked and unclaimed $JRT, as well as with their JRT-ETH LP token (Uniswap, Sushiswap, Bancor, Balancer, etc.).

Looking for more information…

WebsiteExplorerExplorer 2WhitepaperSource CodeSocial ChannelSocial Channel 2Message BoardCoinmarketcap

Would you like to earn JRT right now! ☞ [CLICK HERE](https://www.binance.com/en/register?ref=28551372 “CLICK HERE”)

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

BinanceBittrexPoloniexBitfinexHuobiMXC

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #crypto #jarvis network #jrt

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What is Jarvis Network (JRT) | What is Jarvis Network token | What is JRT token

What is Jarvis Network (JRT) | What is Jarvis Network token | What is JRT token

Decentralized finance?

Decentralized finance (or DeFi) is a financial system whose infrastructure is based on a Blockchain, and is therefore open, transparent, and fully programmable.

  • As such, it allows recreating existing financial services and products ( insurance,  trading,  derivatives,  loans,  rental properties, etc.) on a Blockchain;
  • but it also allows to innovate with products previously synonymous with science fiction ( lotteries or  donations without loss of money, assets that self-generate interest, etc.);
  • these products inherit Blockchain features and are therefore auditable, and can be  automated and become entirely autonomous;
  • eventually, it gives everyone access to all these investment products and solutions that were prior reserved for institutional investors ( liquidity provision,  hedge funding, etc.).

The Jarvis Network

Visit  https://jarvis.network

Jarvis network is a set of protocols on Ethereum for universalizing and uberizing finance and more particularly — financial products and markets. It is owned by a DAO.

Jarvis “Blockchainizes” traditional financial markets to make them open, transparent, interoperable and programmable, and eventually disintermediate them.

These protocols allow users to gain exposure to the prices of any financial instrument via margin trading and/or synthetic assets (for convenience, we will say that users trade, invest, open positions in these instruments) and/or provide the liquidity required for these protocols to run smoothly.

Margin Protocol

A trust-minimized off-chain trading protocol

This protocol allows users to open leveraged positions on different markets such as Forex, indices, stocks or cryptocurrencies, collateralized by Dai.

**They trade against liquidity pools supplied by liquidity providers **(LP) who set their rules (spread, commissions, leverage, supported markets, price source, etc.), effectively uberizing brokerage. LPs can run “No Dealing Desk” or “Dealing Desk” node to hedge their exposure or run a sophisticated market making strategy with their brokers, exchanges or other institutional partners.

Synthetic protocol (Synthereum)

An on-chain trading protocol

Leveraging from the  UMA platform, this protocol allows users to create tokens that track the price of any traditional or digital asset. They can be converted directly with the smart contract, without a counterparty, spread, or slippage: instead of an exchange taking place between a buyer and a seller, the user burns a token (1 synthetic EUR) and atomically mint another one of the same value (0.8 synthetic GBP).

They deposit their collateral in liquidity pools supplied by LPs who are responsible for ensuring the over-collateralisation of the assets minted. This obligation poses a financial risk to LPs that they can hedge via the Margin protocol.

Jarvis Reward Token (JRT)

The JRT is a utility token for securing and governing the protocols, respectively through **staking **and through a DAO, and aims at rewarding the agents who would bring value to the ecosystem.

  • the DAO vote on multiple settings and on propositions to improve the network
  • the DAO manage a 100M Reward Funds to distribute JRT across various reward program, to incentivize those who bring value to the ecosystem;
  • the DAO collect all the fees and decide how to best allocate them to serve the interest of the network and the JRT holders;
  • JRT is staked by validators and relayers to align their interests with those of the protocols.

The Apps

dApps integrating one of the protocols have the possibility to add a fee to generate revenue, in which case part of it will be used to automatically buy back JRTs from the markets and burn them.

Even though anyone can develop an application on the top of the protocols, we have opened different companies in different jurisdictions to be the first to do so and to provide seamless decentralized applications (dApps) to end-users to interact with the protocols: Jarvis market and Jarvis wallet.

Jarvis market

Image for post

Jarvis market allows interacting with the Margin and Synthetic protocols. It is a trading platform for active investors which provides spot and margin trading.

The Spot trading mode aggregates liquidity across several Cex and Dex to allow users to trade any ERC20 tokens (and therefore synthetic assets) at the best prices.

Eventually, the platform will offer social features by integrating 3box and Set Protocol for example.

Jarvis market uses Jarvis trader, a standalone proprietary trading platform that allows traders to connect to several traditional exchanges and brokers.

Jarvis wallet

Image for post

Built on  Gnosis Safe and UniloginJarvis wallet is a smart contract wallet closer to Revolut than to Trust wallet: no private key, no cryptic address, no gas and … no “crypto”. Leveraging from the Synthetic protocol, the base currency of the wallet is not Ether or Dai, but synthetic Euros, Swiss francs or any of the 30 synthetic fiat currencies that the protocol will support.

Thanks to open banking and our partner Ramp.network, Jarvis users can seamlessly connect their bank and instantly buy Dai which will automatically be converted into jEUR, jCHF or jGBP, free of charge and without KYC.

Users then access a dashboard presenting several natively integrated financial services: savings and credit account (Compound, Aave etc.), portfolio management (stocks, cryptos, metals, etc.), real estate (realT, etc.) insurance, lottery, art, games etc. Savvy users will be able to use their wallet to connect to decentralized applications effectively accessing more services, thanks to Unilogin or WalletConnect.

Token distribution

This article will help you understand how the $JRT token supply will evolve in the next 10 years. We will start with the DAO and team token distribution before diving into the token sales one.

DAO treasury

The DAO was seeded with 100M $JRT. Around 9M $JRT have been distributed through two incentives programs in 2020.

The 91M $JRT remaining would need to be distributed through incentives programs, trading competitions and grants for the next 10 years (the DAO will receive 10M $JRT per year).

The DAO will also have to manage a smart Balancer pool with JRT-USDC.

Team distribution

The Jarvis LTD company received 40M $JRT. A maximum of 3M $JRT will be shared every year for at least the next 10 years among the team members. 10M $JRT have been allocated to liquidity provision on Uniswap, Sushiswap, Balancer, Bitmax and Switcheo.

The participants to these first sales have quite unique features:

  • unlike most of the ICOs, Jarvis’ happened among a french community of non-crypto people, mostly Forex traders, moved by the exciting idea of a Finance 3.0;
  • some of them do not even have wallets yet, they just follow the project, waiting for the DAO to be launched;
  • only a handful withdraw their initial investment, but most of them did not sell their JRT during the summer craze.

Image for post

420 participants bought 291,707,869.96 $JRT

  • 30,621,093.30 tokens were unlocked and claimable from December 2019
  • 261,086,776.66 tokens are locked and will be gradually claimable for the next two years starting from January 2021

Token unlocked distribution

  • 19.76M $JRT have been claimed by 197 participants (46.9%) and sent to them;
  • 4.09M $JRT have been claimed by 39 participants (9.3%) who decided not to receive them; they expressed their will to wait for the launch of the DAO and to stake them there directly;
  • 6.75M $JRT remain unclaimed by 184 participants (43.8%).

Token locked distribution:

Locked tokens were supposed to be locked within the DAO, and unlocked gradually every second for 2 years; since the DAO is not launched yet, we asked our community whether they would like to start receiving them every week until the DAO is launched, and then lock the leftovers within the latter, or to simply wait for the DAO launch; a large number of beneficiaries requested to lock their bonus tokens directly in the DAO.

  • 58.24M $JRT have been claimed by 104 participants, who are now receiving 1/104e of that amount every week until the launch of the DAO; this amounts for 560k $JRT per week.
  • 134M $JRT have been claimed by 74 participants, who requested to wait for the launch of the DAO to lock them directly in there;
  • 67M $JRT remain unclaimed by 242 participants; if the tokens are not claimed by end of March 2021, they will either be burned or added to the DAO treasury.

Numbers show that 58 participants who claimed and received their unlocked tokens did not claim their unlocked token yet.

Distribution breakdown of the 2020 token sale

Image for post

112 participants bought 98,452,086.58 $JRT

  • 31,683,717.68 $JRT were unlocked after 90 days;
  • 66,768,668.90 $JRT were unlocked after 180 days.

90 days locked tokens distribution

  • 27.58M $JRT have been claimed by 85 participants, and were sent to them;
  • 2.47M $JRT have been claimed by 14 participants, but they expressed their will to wait for the launch of the DAO to receive them, in order to stake them directly;
  • 1.64M $JRT remain unclaimed by 7 participants.

180 days locked tokens distribution

  • 17.31M $JRT have been claimed by 46 participants, and were sent to them;
  • 45.93M $JRT have been claimed by 46 participants, but they expressed their will to wait for the launch of the DAO;
  • 3.54M $JRT remain unclaimed by 20 participants.

Our first article about the token distribution had a pretty violent reaction ($JRT price went from 30c down to below 10c), as many recent buyers were afraid that investors will “dump on them” immediately after the release of the tokens. However, these numbers show that the large majority of $JRT holders are patient and have long-term commitment who asked to postpone the release; on-chain data shows that the vast majority of the ones who received their tokens did not sell them, and the number of holders has been growing.

Image for post

Locked token within the DAO

Around 193M locked $JRT in the DAO will be gradually unlocked every second, until January 2023. Unlocked tokens can be claimed by the investors at any time, adding them into the circulation supply. The DAO will of course be able to prolong this period.

Participating in the governance will require staking $JRT within the DAO, and lock them for 1 to 3 months depending on the voting power the participants want to acquire. Participants will be able to vote with their unlocked and unclaimed $JRT, as well as with their JRT-ETH LP token (Uniswap, Sushiswap, Bancor, Balancer, etc.).

Looking for more information…

WebsiteExplorerExplorer 2WhitepaperSource CodeSocial ChannelSocial Channel 2Message BoardCoinmarketcap

Would you like to earn JRT right now! ☞ [CLICK HERE](https://www.binance.com/en/register?ref=28551372 “CLICK HERE”)

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

BinanceBittrexPoloniexBitfinexHuobiMXC

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #crypto #jarvis network #jrt

Advanced Jarvis In One Video | How To Make Jarvis | Jarvis Python | Jarvis ai

Advanced Jarvis In One Video | How To Make Jarvis | Jarvis Python | Jarvis ai | Kaushik Shresth |

Video’s Timeline:

00:00 – Introduction
0:05:53 – Speak Function
0:26:03 – Takecommand
0:44:13 – YouTube Search
0:51:58 - Google Search
1:16:56 - Alarm
1:35:02 – YouTube Video Downloader
1:48:33 – Speed Test
2:10:50 – Add Science & Maths
2:28:21 – Whatsapp Automation
2:49:57 - Google Chrome Automation
3:04:57 - YouTube Automation
3:18:44 - Space News
3:37:25 – Nasa Automation
3:51:25 – Mars
4:08:58 – Internation Space Station Tracker
4:20:15 – Astroid Tracker
4:36:29 - Nasa Automation Part - 2
4:55:16 - Google Maps Automation
5:05:09 – Google Maps - 2
5:18:16 – Jarvis Stuck At Listening…
5:26:15 – Jarvis Hindi
5:45:41 – Online Classes Automation
5:57:31 - Notepad Automation
6:06:57 - Timetable Automation
6:18:40 – Chatbot
6:29:02 – Password
6:37:42 – Home Automations
7:02:41 - Gui | Part - 1
7:16:01 - Gui | Part - 2
7:28:20 – Corona Tracker
7:39:31 - Fast Jarvis

#jarvis #make jarvis #jarvis python #jarvis ai

Words Counted: A Ruby Natural Language Processor.

WordsCounted

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

-- Oscar Wilde

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

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

 

Demo

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

Features

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

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

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

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

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

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

API

WordsCounted

WordsCounted.count(input, options = {})

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

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

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

WordsCounted.from_file(path, options = {})

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

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

Accepts the same options as .count.

Tokeniser

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

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

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

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

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

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

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

Counter

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

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

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

counter.token_frequency

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

#most_frequent_tokens

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

counter.most_frequent_tokens

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

#token_lengths

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

counter.token_lengths

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

#longest_tokens

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

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

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

counter.token_density

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

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

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

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

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

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

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

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

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

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

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

Passing in a custom regexp

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

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

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

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

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

Opening and reading files

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

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

Gotchas

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

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

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

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

A note on case sensitivity

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

Roadmap

Ability to open URLs

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

Contributors

See contributors.

Contributing

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

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

#ruby  #ruby-on-rails 

Royce  Reinger

Royce Reinger

1658068560

WordsCounted: A Ruby Natural Language Processor

WordsCounted

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

-- Oscar Wilde

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

Features

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

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

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

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

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

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

API

WordsCounted

WordsCounted.count(input, options = {})

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

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

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

WordsCounted.from_file(path, options = {})

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

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

Accepts the same options as .count.

Tokeniser

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

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

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

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

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

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

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

Counter

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

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

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

counter.token_frequency

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

#most_frequent_tokens

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

counter.most_frequent_tokens

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

#token_lengths

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

counter.token_lengths

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

#longest_tokens

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

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

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

counter.token_density

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

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

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

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

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

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

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

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

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

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

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

Passing in a custom regexp

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

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

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

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

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

Opening and reading files

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

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

Gotchas

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

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

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

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

A note on case sensitivity

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

Roadmap

Ability to open URLs

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

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

Gem Version 

RubyDoc documentation.

Demo

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


Contributors

See contributors.

Contributing

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

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

#ruby #nlp 

Lisa joly

Lisa joly

1624658400

PAID NETWORK Review, Is it worth Investing in? Token Sale Coming Soon !!

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