Project Overview
In the field of Natural Language Processing (NLP), sentiment analysis on social media texts like tweets is a challenging and impactful domain. This project details the process from preprocessing of data to model selection and evaluation. A comparison of several machine learning techniques showcases the effectiveness of each approach.
Utilizing the Sentiment140 dataset, the project implements strategies for data transformation, model training, and sentiment prediction. The notebook outlines all steps in detail, offering insights into the practical aspects of implementing sentiment analysis algorithms.