Using NLP to explore Coronavirus news across different media platforms (Fox News vs. CNN)
News-Articles-Sorting project is a machine learning-based system that aims to automatically categorize and sort news articles into predefined categories.
An ML model that segregates news articles into various categories
News Article classification from raw unlabeled scraped data
This project provides a solution for the classification of news articles into Big data enviraments. Hadoop ecosystem is utilized as storange and Spark as data processing. Multilayer Perceptron model was used for Natural Language Processing task.
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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