News-Articles-Sorting project is a machine learning-based system that aims to automatically categorize and sort news articles into predefined categories.
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Updated
Aug 3, 2023 - Python
News-Articles-Sorting project is a machine learning-based system that aims to automatically categorize and sort news articles into predefined categories.
Using NLP to explore Coronavirus news across different media platforms (Fox News vs. CNN)
An ML model that segregates news articles into various categories
News Article classification from raw unlabeled scraped data
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.
Some implementation and use cases of Naive Bayes.
Image Classification And News Article Classification: Develop deep learning models for image classification and news article categorization, with a comparison of custom and pre-trained DistilBERT models for the latter.
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