multimodal social media content (text, image) classification

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

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

ML model to extract the main concept from a tweet trained on a dataset built with Babelnet and Babelfy.

Simple Repository regarding tweet classification using huggingface tokenizer and transformer, and tracking using weights and biases.

Using Pandas, Pickle, ReGex, Tweepy, Scikit-Learn, Sastrawi. NLTK, and bs4