twitterdata

A sentiment analysis project on Twitter tweets using Python for text preprocessing and visualization. The project includes Exploratory Data Analysis (EDA) and sentiment classification using Logistic Regression and Random Forest models.

NLP for Classifying Consumer Tweets

Twitter Sentiment Analysis.This repository implements a sentiment analysis model to classify tweets as Positive, Negative, Neutral, or Irrelevant using TF-IDF Vectorization and Random Forest. It includes text preprocessing, tokenization, and data visualizations to explore sentiment distribution.

Detecting Sentiment analysis on Twitter dataset dectiving of a tweets are positive or negative .

A dashboard used to demonstrate the work we have done in the intensive week 0 challenge of 10 academy's batch 6 training