[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

Stock price prediction using Bidirectional LSTM and sentiment analysis

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.

Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.

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

This project takes on the goal to improve upon Yachay.ai's infrastructure to train a deep learning model to predict coordinates of individual texts.

This is a web-app which employs the citizen science program by tracking their tweets and subsequent data analysis on Google Earth Engine, aimed at effective CyanoHAB detection and monitoring in water bodies around the world.

Sentiment Analysis on Loksabha Elections 2019

web app brand analysis and visualization. built with ReactJs and NodeJS

People share opinions on Twitter every second. Companies, governments, and researchers want to know what people feel about products, events, or topics in real time. Reading tweets manually is impossible at scale. SentimentFlow is a deep learning based sentiment analysis project for tweets. It trains two models like a basic RNN and an LSTM network.

Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD