GitHub - Pxie024/NaturalLanguageProcessing_2020Election: The purpose of this assignment is to compute the sentiment of text information - in our case, tweets posted recently on US Presidential Elections 2020 - and answer the research question: “What can public opinion on Twitter tell us about the US political landscape in 2020?” The goal is to essentially use sentiment analysis on Twitter data to get insight into the 2020 American Elections.

Pxie024 / NaturalLanguageProcessing_2020Election Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

The purpose of this assignment is to compute the sentiment of text information - in our case, tweets posted recently on US Presidential Elections 2020 - and answer the research question: “What can public opinion on Twitter tell us about the US political landscape in 2020?” The goal is to essentially use sentiment analysis on Twitter data to get …

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
MIE1624 Fall 2020 Assignment 3.pdf		MIE1624 Fall 2020 Assignment 3.pdf
MIE1624H Assignment 3 - Natural Language Processing of Tweets.pdf		MIE1624H Assignment 3 - Natural Language Processing of Tweets.pdf
MIE1624H Tutorial 8 - Assignment 3.ipynb		MIE1624H Tutorial 8 - Assignment 3.ipynb
corpus.txt		corpus.txt
election_trends.png		election_trends.png
political_affiliation.png		political_affiliation.png
stop_words.txt		stop_words.txt
xie_1002905118_assignment3.ipynb		xie_1002905118_assignment3.ipynb
xie_1002905118_assignment3.pdf		xie_1002905118_assignment3.pdf