#Twitter-sentiment-analysis
Showing 8 of 8 repositories tagged #twitter-sentiment-analysis, ranked by stars
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.
Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.
Python
Create Interactive Dashboards With Streamlit in Python
An AI project where we do web scrapping from Twitter API, find the sentimental analysis using bag-of-word model, & store it in a csv file.
This project provides valuable customer sentiment insights for Zomato by tracking and analyzing tweets related to their brand and services.