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项目作者： Zack-Berman

项目描述 ：
NLP Performed on State of the Union speeches
高级语言： Jupyter Notebook
项目地址: git://github.com/Zack-Berman/NLP-State-of-the-Union.git
创建时间： 2018-08-10T17:30:43Z
项目社区：https://github.com/Zack-Berman/NLP-State-of-the-Union
开源协议：
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Natural Language Processing of State of the Union Speeches

The State of the Union (SotU) is a annual message delivered by the president of the United States to the Congress. It is a chance for the president to speak to the nation and make a case for their agenda and current administration. The speech lays out the priorities for an administration and president, as well as the overall health, especially economic, of the nation. For this analysis we have the transcribed speeches of each SotU between 1945 and 2016. The time period covers 12 different presidents, 6 Democrats and 6 Republicans.

This project will focus on answering the following questions in order to give this project direction:

  1. Are there variations in tone or sentiment between presidents?
  2. What could account for changes in sentiment in each SotU? Are there indictors which could predict sentiment?
  3. How does the language used in these speeches change over time, and are their noticeable patterns?
  4. Are there major differences in the speeches given between presidents of the two different political parties.

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Dependencies

  • pandas
  • numpy
  • matplotlib
  • seaborn
  • nltk
  • spacy
  • textblob
  • sklearn
  • scipy