const Twit = require('twit');
const dotenv = require('dotenv');
const sentiment = require('sentiment');
const colors = require('colors/safe');
dotenv.config();
const { CONSUMER_KEY
, CONSUMER_SECRET
, ACCESS_TOKEN
, ACCESS_TOKEN_SECRET
} = process.env;
const config_twitter = {
consumer_key: CONSUMER_KEY,
consumer_secret: CONSUMER_SECRET,
access_token: ACCESS_TOKEN,
access_token_secret: ACCESS_TOKEN_SECRET,
timeout_ms: 60*1000
};
let api = new Twit(config_twitter);
function get_text(tweet) {
let txt = tweet.retweeted_status ? tweet.retweeted_status.full_text : tweet.full_text;
return txt.split(/ |\n/).filter(v => !v.startsWith('http')).join(' ');
}
async function get_tweets(q, count) {
let tweets = await api.get('search/tweets', {q, count, 'tweet_mode': 'extended'});
return tweets.data.statuses.map(get_text);
}
async function main() {
let keyword = 'avengers';
let count = 100;
let tweets = await get_tweets(keyword, count);
for (tweet of tweets) {
let score = sentiment(tweet).comparative;
tweet = `${tweet}\n`;
if (score > 0) {
tweet = colors.green(tweet);
} else if (score < 0) {
tweet = colors.red(tweet);
} else {
tweet = colors.blue(tweet)
}
console.log(tweet)
}
}
main();
via: https://boostlog.io/@anshulc95/twitter-sentiment-analysis-using-nodejs-5ad1331247018500491f3b6a
作者： Anshul Chauhan 譯者： BriFuture 校對： wxy
本文由 LCTT 原創編譯， Linux中國 榮譽推出
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