Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.

Live Twitter sentiment analysis using Python, Apache Spark Streaming, Kafka, NLTK, SocketIO

split lower case twitter hash tags by word entropy 🤯

Get an insight of a person through his Twitter account

A group project for CMPE255 at SJSU

An extension downloadable through our website which helps you analyze twitter accounts based on the content and history with real-time sentiment analysis on tweets.

This web app takes a Twitter handle, and retrieves all of their tweets. It performs Sentiment Analysis and User Modeling (through IBM Watson) to analyze the user.

Twitter sentiment analysis built on Azure cognitive services

Scrapped and Analyzed Twitter data using Spark. Run Spark queries on Millions of tweets and trained models for sentiment analysis.

tweety scrape all the tweets using python and selenium with No API rate limits. No restrictions. Extremely fast.

Keep your Twitter feed sweet 🍬

Shows Twitter data based on topic/query in an interactive analysis dashboard with automatic email alert. Users can monitor specific account, topic, comment, retwitt by setting schedule program.

An application to analyze the tweet patterns of a user and categorize the tweets with 97.2% accuracy.

French Presidential Election Sentiment Analysis with Vader and TextBlob. The analyzed texts come from tweets or Youtube video comments. the application is developped in python with Flask and jQuery. The web template used for the interfaces is Slim - Modern & Clean Responsive Bootstrap 4 Admin Dashboard Template.

Automated Topic Analysis using Deep Learning

frontend for twitter sentiment analysis

Sentiment Analysis Using Twitter

Track your favorite hashtag on twitter and serve it at scale

Twitter Sentiment Analysis

Filters tweets based on sentiment analysis