https://github.com/keivanipchihagh/fun-text-mining-with-simpsons

Exploratory data analysis for approximately 600 Simpsons episodes and scripts, topic modeling and text generation.
https://github.com/keivanipchihagh/fun-text-mining-with-simpsons

bag-of-words sentiment-analysis simpsons tf-idf topic-modeling word2vec wordcloud

Last synced: about 1 month ago
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Exploratory data analysis for approximately 600 Simpsons episodes and scripts, topic modeling and text generation.

• Host: GitHub
• URL: https://github.com/keivanipchihagh/fun-text-mining-with-simpsons
• Owner: keivanipchihagh
• License: apache-2.0
• Created: 2021-06-03T07:32:32.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-07-13T18:44:54.000Z (about 4 years ago)
• Last Synced: 2025-04-07T08:37:34.440Z (6 months ago)
• Topics: bag-of-words, sentiment-analysis, simpsons, tf-idf, topic-modeling, word2vec, wordcloud
• Language: Jupyter Notebook
• Homepage:
• Size: 25.3 MB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Fun Text Mining with Simpsons

Exploratory data analysis for approximately 600 Simpsons episodes and scripts, topic modeling and text generation.

## Table of Content

- Identify most on-screen characters

- Group the most common words for each character (WordClouds)

- Vectorizing 

  - Bag-Of-Words

  - TF-IDF

  - Word-Vector (Google's Word2Vec)

- Sentiment Analysis

- Topic Modeling

- Best & worst episode

## Credits, Sources & Links

- [Kaggle Notebook](https://www.kaggle.com/ambarish/fun-in-text-mining-with-simpsons)