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Text Mining America's Toughest Game Show

Use text mining to analyze Jeopardy! data.

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10 Tasks1,500 XP

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Project Description

*Note: this project is [soft launched](https://en.wikipedia.org/wiki/Soft_launch), which means you may experience bugs. Please click "Report an Issue" in the top-right corner of the project interface to provide feedback.* _Jeopardy!_ (hosted by Alex Trebek) has cemented itself in TV history as one of the most iconic American game shows of all time. In this project, you will examine ten years worth of _Jeopardy!_ episodes with text mining techniques to find the most frequently asked types of questions on the show. The dataset used in this project is a cleaned subset of [this dataset](https://www.reddit.com/r/datasets/comments/1uyd0t/200000_jeopardy_questions_in_a_json_file/) from the Datasets subreddit, uploaded by user trexmatt.

Project Tasks

  1. 1
    This... is... Jeopardy!
  2. 2
    A glimpse ahead
  3. 3
    Corpus of categories
  4. 4
    Cleaning the categories
  5. 5
    Favorite topics
  6. 6
    Removing unwanted words
  7. 7
    Creating better tools, part 1
  8. 8
    Creating better tools, part 2
  9. 9
    Think!
  10. 10
    A few insights
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Alexis Lee Headshot

Alexis Lee

Intern at DataCamp
Alexis was an intern at DataCamp during her time as a student at Yale University.
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