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Sentiment analysis


Callum Haine

05/06/2020

Supervised by Jose Camacho Collados; Moderated by Kirill Sidorov

Automatically analyzing the sentiment has been a long-standing task in Natural Language Processing (NLP). For example, given a movie release, we may be interested in knowing whether the public has liked it or not. This project will consist of developing a sentiment analysis classifier which can be robust across different domains (e.g. social media or movie reviews). The main language of study would be English, although other languages are also possible. Good Python programming skills is required for this project.


Initial Plan (03/02/2020) [Zip Archive]

Final Report (05/06/2020) [Zip Archive]

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