Data From Twitter!
-
Updated
Jan 16, 2021 - Python
Data From Twitter!
A mini project to parse through tweets using Twitters API and analyse them, returning the tweets followed by its sentiment and subjectivity scores to the console.
Automatically like tweets from threading hashtags from potential people who will follow you back
Applied Sentiment Analysis to classisfy tweets as positive or negative
Topic-modeling on large data (1.85M tweets written in Spanish, ~1M "Spain geolocated", about 'coronavirus' between 2019 to 2020-04-20). Forked from ShuaiW/twitter-analysis (adapted for Python3 to use a discriminative score), mainly for Twitter LDA (Latent Dirichlet allocation using Gibbs sampling, https://lda.readthedocs.io/)
a bot that analysis yesterday's emotional index by tweets
Dashboard for analyzing, filtering and erasing tweets got from api or from csv file.
Sentiment analysis of a dataset of tweets
This repo was created as part of Tinkerhub.org Build From Home event. This is the code for a twitter bot ready to be deployed on Heroku.com
Send new beer alerts to your Slack channel based on tweets from your favorite breweries.
A Python bot that automates several actions on Twitter like replying to tweets.
A Twitter Bot who tweets a random word each days :)
FastAPI Backend for NLP Project on Tweets classification about national insecurity at Ecuador.
Create a list on Twitter of users you follow who don't follow you. Built with Python and Twitter API v1.1
Add a description, image, and links to the tweets topic page so that developers can more easily learn about it.
To associate your repository with the tweets topic, visit your repo's landing page and select "manage topics."