In this project I would like to analyse US 2020 presidential debate by focusing on speech types of the two politicians, Donald Trump and Joe Biden. It is interesting to figure out and understand the character and personality of each politician by analysing their speech types. I would like to analyse the sentiment scores of speakers during the debates. I will figure out the polarity "how positive or negative a word" and subjectivity "how subjective or opinionated a word" is. The key aspect of sentiment analysis is to analyze a body of text for understanding the opinion expressed by it.
The US 2020 election sees the incumbent Republican president Donald Trump facing off against his Democrat challenger Joe Biden. Both candidates agreed to debate their political stances in the lead-up to the vote on November 3rd.
The 1st presidential debate took place on September 29th at Case Western Reserve University in Cleveland, Ohio. It was moderated by Fox News anchor Chris Wallace.
The 2nd presidential debate between Biden and Trump took place on October 22nd at Belmont University, Nashville, Tennessee and was moderated by NBC News' Kristen Welker.
- Data pre-processing
- Exploratory Data Analysis
- Sentiment Analysis
- Topic Modeling
- Text Summarization