mccurcio / Twitter-Sentiment

Takes tweets using Tweepy. Uses NLTK to run sentiment polarity on tweets. Does exploratory data analysis on the tweets to see how POTUS sends out his tweets. Runs three machine learning classifiers on the data.

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Twitter-Sentiment

Setup

No additional setup is needed to view this project. To view the analysis and the project, click here.

Description

This project is a basic use case of Natural Language Processing. The objective of this project is to see how the President of the United States of America addresses the nation through the use of Twitter. There will be a use of machine learning models towards the end of this project to help determine which one best models the Presidents tweets based on sentiment. This project can be viewed using this link.

Note

It should be noted that TweetRetrieval.ipynb will not run since the authentication keys and tokens have been replaced with "xxxx" for privacy reasons. The rest of the file is intact and should be viewable.

About

Takes tweets using Tweepy. Uses NLTK to run sentiment polarity on tweets. Does exploratory data analysis on the tweets to see how POTUS sends out his tweets. Runs three machine learning classifiers on the data.


Languages

Language:Jupyter Notebook 100.0%