Sentiment analysis of millennials trends using Twitter and NLP
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Updated
Jun 19, 2018
Sentiment analysis of millennials trends using Twitter and NLP
Data analysis of tweets about a controversial situation of a YouTuber. Used TwitterAPI to fetch tweets and performed sentiment analysis
The IBM Watson Personality Insights service derives insights about personality characteristics from social media
M.Tech (Software Engineering) Sep 2016 - Final Dissertation Project
A free and open-source sentiment analysis program, using Twitter data
Task 4 of the Prodigy infotech Data science internship
This program do sentimental analysis on given hashtag and give output as if its positive sentiment or negative sentiment.
Twitter Sentiment Analysis
Hate Speech in the form of racism and sexism has become a nuisance on Twitter and it is important to segregate these sort of tweets from the rest. In this problem, I have taken the Twitter data that has both normal and hate tweets. So the task was to identify the tweets which have a positive connotation from the tweets that have a negative one.
Estimating the growth or depreciation on exchange rates by using sentiment analysis method from social media comments
Perform sentimental analysis on the Elon-musk tweets (Elon-musk.csv)
Twitter Sentiment Analysis using machine learning models.
Scrapped and Analyzed Twitter data using Spark. Run Spark queries on Millions of tweets and trained models for sentiment analysis.
Given Dataset:-
Command line Twitter BOT that can help your profile to grow it's impact on media
Stock Prediction Dashboard
Twitter Sentiment Analysis
MSP Penn Data Analysis Workshop - February 2018
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