Git Repository for Metis Project -4
Analyze the history of America by analyzing the trends from the speeches of Presidents. I performed topic modeling and then walked back in time to connect the topics with the relevant historical context.
- Which all topics I could model based on the data.
- Polarity/Subjectivity analysis of the President Speeches.
- Project-4.ipynb - This has all the code that I have used as part of project -4.
- Metis Project -4_Final.pdf - Presentation.
- Pandas
- Tableau
- IBM ToneAnalyzer V3
The data has been sourced from Kaggle :https://www.kaggle.com/littleotter/united-states-presidential-speeches. It has the presidential speeches until September 9th, 2019. There are around 992 speeches which range from 1789-04-30 to 2019-09-25 .
- Topics Modeling
- Sentiment Analysis
- https://datayo.org/p/stories/8t0a_WslB_NkaYwz/unpacking-russian-presidential-speech-patterns-with-machine-learning
- https://www.expert.ai/blog/president-biden-inaugural-address-a-linguistic-analysis
- https://www.mosaicdatascience.com/2016/05/09/nlp-development-analyzing-debate-speeches/
- https://towardsdatascience.com/us-presidential-voices-over-the-ages-35678518f82b