unsurecoder / SentimentAnalysis_2020candidateTweets

Negative sentiment Analysis of 2020 US presidential election Candidates_Tweets

Home Page:https://www.kaggle.com/allenedgarpoe/negative-sentimental-analysis-on-2020-us-candidate

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

emoji

Sentiment Analysis on 2020 US presidential Election Candidates using Twitter Data.

Data Information: Tweets from 1 Republican Party candidate(Donald Trump) and 3 Democrat Party candidates(Joe Biden, Elizabeth Warren, Bernie Sanders)
Question: Which Candidate is more negative on which topic?
Method: Word Embedding Model(FastText), Gru-LSTM-CNN model

Number of the data

There are total of 11762 tweets. This might seem like a lot of data, but actually relatively small data compared to those which is used in other machine learning projects.

  • Donald Trump: 3929 tweets
  • Elizabeth Warren: 3645 tweets
  • Bernie Sanders: 2681 tweets
  • Joe Biden: 1507 tweets

Result

__results___37_0 __results___35_1 __results___33_0

About

Negative sentiment Analysis of 2020 US presidential election Candidates_Tweets

https://www.kaggle.com/allenedgarpoe/negative-sentimental-analysis-on-2020-us-candidate


Languages

Language:Jupyter Notebook 100.0%