Multidocument Summarization Applied to Drug Reviews

Student: Maduar Darin

Supervisor: Ekaterina Artemova

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2020

This thesis is devoted to summarization of reviews on different medicines. In this work, a number of the algorithms of multi-document summarization were completed to analysis with subsequent experiment, which was conducted systems for generating pros and cons summaries of antidepressant reviews. The research illustrates the advantage of the review analysis, including its sentiment analysis over the less informative average product evaluation, which can be found on review sites.

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