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algorithm.ts
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// ---------------------------
// Twitter Algorithm
// Higher score = higher reach
// ---------------------------
import { compact } from "lodash"
import Sentiment from "sentiment"
export function rank(tweet: string): RankResponse {
const parsedTweet = tweet.toLowerCase()
// Default score
if (parsedTweet.length < 2) {
return {
score: 0,
validations: [],
}
}
const theSentiment = new Sentiment()
const theSentimentResponse = theSentiment.analyze(tweet)
const tweetData: TweetData = {
tweet: parsedTweet,
originalTweet: tweet,
sentiment: theSentimentResponse,
}
const rules = [
elon(tweetData),
tesla(tweetData),
emojis(tweetData),
sentiment(tweetData),
thread(tweetData),
lineBreaks(tweetData),
confidence(tweetData),
noDoubt(tweetData),
exclamations(tweetData),
questions(tweetData),
lowercase(tweetData),
uppercase(tweetData),
hazing(tweetData),
]
const scores = rules.map((item) => item.score)
const validations: Array<Validation> = compact(
rules.map((item) => {
if (item.message) {
const type = item.score >= 1 ? "positive" : "negative"
const operator = type === "positive" ? "+" : "-"
return {
message: `${item.message} (${operator}${Math.abs(item.score)})`,
type,
}
}
})
)
const sum = scores.reduce((partialSum, a) => partialSum + a, 0)
if (sum < -100) {
// -100 is the minimum score
return {
score: -100,
validations,
}
} else if (sum > 100) {
// 100 is the maximum score
return {
score: 100,
validations,
}
} else {
return {
score: sum,
validations,
}
}
}
// ---------------------------
// Rules
// Can return any value between -100 and 100
//
// Add new rules here!
// Returning 0 has no impact on score
// ---------------------------
/**
* Always talk about Elon in a positive light.
*/
function elon({ tweet, sentiment }: TweetData): Rank {
if (tweet.indexOf("elon") >= 0) {
if (sentiment.comparative >= 0) {
return {
score: 100,
message: `Said good things about Elon Musk.`,
}
} else {
return {
score: -100,
message: `Said bad things about Elon Musk.`,
}
}
}
return {
score: 0,
}
}
/**
* Always talk about Tesla in a positive light.
*/
function tesla({ tweet, sentiment }: TweetData): Rank {
if (tweet.indexOf("tesla") >= 0) {
if (sentiment.comparative >= 0) {
return {
score: 100,
message: `Said good things about Tesla.`,
}
} else {
return {
score: -100,
message: `Said bad things about Tesla.`,
}
}
}
return {
score: 0,
}
}
/**
* Favor tweets that use emojis Elon likes!
*/
function emojis({ tweet, sentiment }: TweetData): Rank {
const emojis = [
"🚀",
"💫",
"🚘",
"🍆",
"❤️",
"🫃",
"🤖",
"🌞",
"🌍",
"🧢",
"🥳",
]
const matches = emojis.map((emoji) => {
const regex = new RegExp(emoji, "gi")
return (tweet.match(regex) || []).length
})
const totalMatches = matches.reduce((partialSum, a) => partialSum + a, 0)
const scorePerMatch = 10
if (totalMatches > 0) {
return {
score: totalMatches * scorePerMatch,
message: `Included ${totalMatches} of Elon's favorite emojis.`,
}
}
return {
score: 0,
}
}
/**
* Promote negative content because it's more likely to go viral.
* Hide anything positive or uplifting.
*/
function sentiment({ tweet, sentiment }: TweetData): Rank {
if (sentiment.comparative >= 0.5) {
if (sentiment.comparative > 1.5) {
return {
score: -75,
message: `Exceptionally positive.`,
}
} else {
return {
score: -30,
message: `Positive sentiment.`,
}
}
} else if (sentiment.comparative <= -0.5) {
if (sentiment.comparative < -1.5) {
return {
score: 75,
message: `Exceptionally negative.`,
}
} else {
return {
score: 30,
message: `Negative sentiment.`,
}
}
} else {
return {
score: 0,
}
}
}
/**
* Prefer awful threads
*/
function thread({ tweet, sentiment }: TweetData): Rank {
if (tweet.indexOf("🧵") >= 0 || tweet.indexOf("thread") >= 0) {
return {
score: 50,
message: `Insufferable thread.`,
}
}
return {
score: 0,
}
}
/**
* Prioritize douchey tweet formatting.
*/
function lineBreaks({ tweet, sentiment }: TweetData): Rank {
const breaks = tweet.split("\n\n")
const totalBreaks = breaks.length - 1
if (totalBreaks >= 1) {
return {
score: 20 * totalBreaks,
message: `Used ${totalBreaks} douchey line breaks.`,
}
} else {
return {
score: 0,
}
}
}
/**
* Favor absolutism. Nuance is dead baby.
*/
function confidence({ tweet, sentiment }: TweetData): Rank {
const phrases = [
"definitely",
"only ",
"must",
"have to",
"can never",
"will never",
"never",
"always",
]
const matches = phrases.map((phrase) => {
const regex = new RegExp(`\\b${phrase}\\b`, "gi")
return (tweet.match(regex) || []).length
})
const totalMatches = matches.reduce((partialSum, a) => partialSum + a, 0)
if (totalMatches > 0) {
return {
score: 20 * totalMatches,
message: `Spoke without nuance.`,
}
}
return {
score: 0,
}
}
/**
* No self-awareness allowed!
*/
function noDoubt({ tweet, sentiment }: TweetData): Rank {
const phrases = ["maybe", "perhaps ", "sometimes", "some"]
const matches = phrases.map((phrase) => {
const regex = new RegExp(`\\b${phrase}\\b`, "gi")
return (tweet.match(regex) || []).length
})
const totalMatches = matches.reduce((partialSum, a) => partialSum + a, 0)
if (totalMatches > 0) {
return {
score: -20 * totalMatches,
message: `Exhibited self-awareness.`,
}
}
return {
score: 0,
}
}
/**
* Be bold and loud!
*/
function exclamations({ tweet, sentiment }: TweetData): Rank {
const regex = new RegExp(`!`, "gi")
const exclamations = (tweet.match(regex) || []).length
if (exclamations > 0) {
return {
score: 5 * exclamations,
message: `Exclamation point bonus.`,
}
}
return {
score: 0,
}
}
/**
* Don't ask questions!
*/
function questions({ tweet, sentiment }: TweetData): Rank {
const regex = new RegExp(`\\?`, "gi")
const questions = (tweet.match(regex) || []).length
if (questions > 0) {
return {
score: -25 * questions,
message: `Too many questions.`,
}
}
return {
score: 0,
}
}
/**
* We like the nihilistic energy of all lowercase.
*/
function lowercase({ originalTweet }: TweetData): Rank {
const isAllLowerCase = originalTweet.toLocaleLowerCase() === originalTweet
if (isAllLowerCase) {
return {
score: 40,
message: `All lowercase. Nihilistic energy.`,
}
}
return {
score: 0,
}
}
/**
* We love an all caps tweet.
*/
function uppercase({ originalTweet }: TweetData): Rank {
const isAllCaps = originalTweet.toUpperCase() === originalTweet
if (isAllCaps) {
return {
score: 60,
message: `ALL CAPS. BIG ENERGY.`,
}
}
return {
score: 0,
}
}
/**
* A little hazing never hurt anyone.
*/
function hazing({ tweet, sentiment }: TweetData): Rank {
const insults = ["get bent", "pound sand", "kick rocks", "get lost"]
const matches = insults.map((insult) => {
const regex = new RegExp(`\\b${insult}\\b`, "gi")
return (tweet.match(regex) || []).length
})
const totalMatches = matches.reduce((partialSum, a) => partialSum + a, 0)
const scorePerMatch = 10
if (totalMatches > 0) {
return {
score: 50,
message: `Hazing.`,
}
}
return {
score: 0,
}
}