Kaggle Twitter US Airline Sentiment, Implementation of a Tweet Text Sentiment Analysis Model, using custom trained Word Embeddings and LSTM-Deep learning [TUM-Data Analysis&ML summer 2021] @adrianbruenger @stefanrmmr

RedBricks is a FastAPI web app for tweet sentiment analysis using a pre-trained LSTM model. It provides an API for sentiment prediction and is deployed on Koyeb with an automated CI/CD pipeline via GitHub Actions. For deployment details, refer to the linked Medium article.

Sentiment categorization system using classical ML algorithms for tweets | A2 for COL772 course (Fall 21)

Tweet Intelligence : a sophisticated approach to extracting deep insights from tweet data using state-of-the-art generative AI and large language models.

Extract words that supports a tweet's sentiment

This project is developed in line with the Curriculum of the Frauenloop Intermediary Course in Machine Learning.

The project divides the tweet into three different sentiments and create a wordcloud among them with most frequent used words. The project was submitted in OpenHacks 2020.