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What is Lexicon-Based Sentiment Analysis in News about?

This conference paper presents a lexicon-based approach to sentiment analysis of news articles, focusing on the polarity of opinions expressed in written text. The methodology involves preprocessing news articles from the BBC dataset, calculating sentiment scores using the WordNet lexical dictionary, and categorizing articles as positive, negative, or neutral. The results demonstrate the effectiveness of the proposed approach in automating sentiment analysis without the need for extensive data preprocessing

Author

112701026

Language

EN