Aims to classify 134348 tweets as either depressive or non-depressive using natural language processing (NLP) techniques and logistic regression
This project showcases a complete workflow from data acquisition to model training and evaluation for a text classification task, specifically focusing on sarcasm detection using a neural network.
This project focuses on preprocessing Twitter data for sentiment analysis using Natural Language Processing (NLP) techniques with NLTK (Natural Language Toolkit).