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

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

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

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

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

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

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

Blazing fast topic modelling for short texts.

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

Scrape the twitter and chat with tweets!

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

Python package to clean raw tweets for ML applications.

We analyze tweets of Congressmen, to analyse the interest and sentiment for the cause of Lobbyists4Good

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.

En esta práctica se empaqueta y distribuye una aplicación Python que descarga y analiza tweets en función de puntuaciones de sentimiento. Los resultados del análisis se guardan en una base de datos MongoDB, y la información se muestra en la web.

Analyzing Disaster Tweets using natural language processes

Capstone project of CodingNomads' online Python Programming bootcamp. Over 100k tweets were mined using tweepy (Twitter API), stored using SQLAlchemy and finally analyzed.

A sentiment analysis tool for tweets

VADER-analysis of recent tweets by keyword

TweetAuth-LoRADistil uses a fine-tuned DistilBERT model with LoRA and 8-bit quantization to efficiently classify disaster-related tweets in real-time. LoRA and quantization ensure minimal memory requirements, making it suitable for constrained environments without sacrificing performance. The flask app is deployed via Docker hub for quick setup.