# 🌍 Multilingual Sentiment Analysis Web AppThis project offers a full-stack application that analyzes sentiment in text across multiple languages using the Hugging Face Inference API. It features a responsive user interface and automatic language detection, making it a practical tool for diverse users. 🌟💻

📖 GitHub action schedular (cron) that posts a Hadith every hour on Twitter & Facebook.

Official Python SDK for the X Twitter Scraper API — tweet search, user lookup, monitoring, webhooks & more

A bot that updates about the most subscribed artist' channels on YouTube. A weekly top chart report is provided every Monday. It posts updates on Twitter

Scrape tweets, profiles, followers and following from Twitter/X, no API key needed. Python library with smart multi-account pooling, proxy support and async.

A simple, free to use Twitter tool made with Python to cleanup an entire profile tweet history.

Twitter Scraper

Disaster Tweets API - Production-ready BERT-based FastAPI service for classifying tweets as Disaster or Not Disaster, with Docker, CI, and cloud deployment support.

Allows you to search on Twitter. The search returns 100 "last" tweets max.

Uses topic modeling to identify context between follower relationships of Twitter users

Natural Language Processing with Disaster Tweets

Download your liked tweets

A web application for determining the sentiment labels of live tweets

Collection of automated tasks

Like and retweet your tweets, or search tweets by topic. It stores and serves data with a Flask webapp. 🐦 Live demo running on twitter.com/ai_testing

This is a no-frills Multinomial Naive Bayes classifier built from scratch in Python to quickly determine if a tweet is reporting a real disaster or just some random noise. It's simple, fast, and uses a basic Bag-of-Words approach after a standard text cleaning routine.

This repository houses the annotations we made on 600 tweets from the FrUIT corpus as well as the first steps of a new annotation phase.

Basic DistilBERT model that predicts whether a statement is likely to be from a U.S. Democrat or a Republican.

Boost your Twitter efficiency with our powerful automation tool, perfect for marketers and social media managers. Manage multiple accounts, schedule posts, publish bulk tweets or threads from a CSV, and automate engagement by liking, retweeting, and following users, all from one simple command line interface.

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/)