[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

Accurate word segmentation for hashtags and text, powered by Transformers and Beam Search. A scalable alternative to heuristic splitters and massive LLMs.

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

Blazing fast topic modelling for short texts.

FinABSA is a T5-Large model trained for Aspect-Based Sentiment Analysis specifically for financial domains.

Python package to clean raw tweets for ML applications.

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake

Scrape the twitter and chat with tweets!

How Will Your Tweet Be Received? Predicting theSentiment Polarity of Tweet Replies

This web app recommends trending movies and songs by analyzing real-time tweets using sentiment analysis. It fetches data from Spotify and TMDB, and sends personalized email updates to users.

Music for your Mood! Tweet at us and we got you covered!

twig.py - a twitter web3 influencer truffle pig used for finding engaged users

Scrape tweets without authentication using Selenium WebDriver

Easily search tweets for topic-relevant hashtags.

learning python day 15

Computer science master's degree project for Big Data exam. Sentiment Analysis using Lexicon with Italian tweets.

An LLM-powered pipeline using RAG to analyze disaster-related tweets, detect rumors, and extract structured intelligence. Features a Streamlit dashboard for real-time crisis monitoring and response planning.

Assignment to scrape tweets based on hashtags and then analyse them through a sociological lens.

We are scraping the data from the social media Twetter to collect data about Bitcoin, the famous crypto-currency. After cleaning those data and place them in a pandas dataframe, our program is doing a sentimental analysis on each tweet and return the polarity.