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https://github.com/tushar2704/twitter-toxicity-classification
This project aims to solve the problem of identifying the toxicity of tweets using Natural Language Processing (NLP) techniques. Given the dataset `twitter_parsed_tweets`, I will implement a step-by-step NLP approach to classify tweets into binary values based on their toxicity.
https://github.com/tushar2704/twitter-toxicity-classification
artificial-intelligence data-science nlp nlp-machine-learning text-classification
Last synced: 19 days ago
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This project aims to solve the problem of identifying the toxicity of tweets using Natural Language Processing (NLP) techniques. Given the dataset `twitter_parsed_tweets`, I will implement a step-by-step NLP approach to classify tweets into binary values based on their toxicity.
- Host: GitHub
- URL: https://github.com/tushar2704/twitter-toxicity-classification
- Owner: tushar2704
- License: mit
- Created: 2023-07-05T17:17:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-11T22:18:45.000Z (over 1 year ago)
- Last Synced: 2024-05-11T05:53:47.488Z (8 months ago)
- Topics: artificial-intelligence, data-science, nlp, nlp-machine-learning, text-classification
- Language: Jupyter Notebook
- Homepage: https://tushar-aggarwal.com
- Size: 1.91 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0