https://github.com/altimis/tweets-classification-

Prediction of tweets topics (sports or politics)
https://github.com/altimis/tweets-classification-

Last synced: 9 months ago
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Prediction of tweets topics (sports or politics)

• Host: GitHub
• URL: https://github.com/altimis/tweets-classification-
• Owner: Altimis
• Created: 2019-04-04T17:47:01.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2021-02-12T10:30:29.000Z (over 5 years ago)
• Last Synced: 2025-01-14T05:42:40.274Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 4.06 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Tweets-classification-

Prediction of tweets topics (sports or politics)

In this project, I followed two approaches to solve this classification problem. 

The first one is by using the tf-idf technique following by applying Multinomial Naive Bayes and SVM modeles. 

The second one is by using Word Embedding (pre trained model) and feed them to a LSTM classifier.

## Results 

TF-IDF + SVM results were better than Word2Vec + LSTM (0.96 vs 0.94).