Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.
-
Updated
Dec 19, 2018 - JavaScript
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 🤯
Filters tweets based on sentiment analysis
Get an insight of a person through his Twitter account
Twitter Sentiment Analysis
Keep your Twitter feed sweet 🍬
Automated Topic Analysis using Deep Learning
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.
Real Time Event Feedback Through Twitter Hashtag Keyword (final year project)
A group project for CMPE255 at SJSU
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.
Track your favorite hashtag on twitter and serve it at scale
Twitter Analyser
Scrapped and Analyzed Twitter data using Spark. Run Spark queries on Millions of tweets and trained models for sentiment analysis.
The easiest AI automation tool for X/Twitter.
Add a description, image, and links to the twitter-sentiment-analysis topic page so that developers can more easily learn about it.
To associate your repository with the twitter-sentiment-analysis topic, visit your repo's landing page and select "manage topics."