You can watch the working of this project at https://www.youtube.com/watch?v=me782RAMM3Y
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Updated
Jul 20, 2018 - Python
You can watch the working of this project at https://www.youtube.com/watch?v=me782RAMM3Y
This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).
Experimenting with Twitter API's and gathering tweets from twitter
Sentiment Analysis (understanding and extracting feelings from Data), Create an API for Twitter, Use TextBlob for NLP tasks
🔍 Places finder using Natural Language Processing
Extracting titles of business page of DAWN Pakistan to use in NLP and Stock Market prediction
Cyberbullying Detection using Semantic Analysis
Analyzing reaction to tweets using TextBlob
Twitter Sentiment Analysis With Graphs, Popularity Analysis With Time Series Graphs Using TextBlob and Python.
Comparative Analysis
simple script for downloading Youtube comments without using the Youtube API
This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.
A chatbot that responds based on semantic analysis
Sentiment Analysis on top super smash bros melee players tweets
An ML-based, Django app that let's counsellors manage their schedules and run sentiment analysis and topic modeling on the Twitter accounts of their clients.
Topic: Opinion Mining and Summarization of Hotel Reviews
Sentiment Analysis on Game Review using TextBlob-lexicon and rule-based sentiment.
Live sentiment analysis of tweets using Kafka
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