This software aims to perform news analysis using unsupervised machine learning techniques.
Given any news dataset, it will group them in similar news articles and identify patterns in topics.
This can be useful in various areas, such as:
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News Impact Analysis: Government agencies and research institutions can use this code to group news related to important events and study their public impact.
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Sentiment and Trend Analysis: Media companies or news platforms can use this code to identify emerging topics or trends by grouping related news articles.
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Recommendation Systems: By using the generated clusters, news platforms can recommend similar articles to users based on the topics clustered together.