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A ML model natural language processing techniques to classify articles based on their content. The model analyzes text from the articles to predict the most relevant category, such as news, sports, or entertainment. The model's performance is validated through rigorous testing, and all relevant code and data sets are included.

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News Article Classifier.ipynb
News Article Classifier.ipynb
 
 
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News-Article-Classifier

A machine learning model to predict article category using some text of the article. Data from BBC News Clssification | Kaggle.

Steps:

Using LSTM is not effcient for such a small data set, so replaced it with MultinomialNB.

  1. Data Loading
  2. Data Cleaning
  3. Data Preprocessing
  4. Model Training
  5. Testing

Features:

  • 1490 instances
  • 3 columns(ArticleId, Article, Category)
  • 5 Categories ('business', 'tech', 'politics', 'sport', 'entertainment')

About

A ML model natural language processing techniques to classify articles based on their content. The model analyzes text from the articles to predict the most relevant category, such as news, sports, or entertainment. The model's performance is validated through rigorous testing, and all relevant code and data sets are included.

Topics

nlp machine-learning text-classification kaggle multinomial-naive-bayes news-article-classifier mlproject

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