Automated Semantic Analysis of User-Generated Content in Web 2.0 Resources in Healthcare

Student: Malashina Aleksandra

Supervisor: Irina Efimenko

Educational Programme: Language Theory and Computational Linguistics (Master)

Final Grade: 9

Year of Graduation: 2017

Nowadays, the internet is in all areas of human life and the field of medicine is no exception. Patients, who used to rely solely on health care experts for advice and treatments, now seek health information on their own from the Internet and share their experience of treating various diseases. To use this information for research and commercial purposes, it is necessary to develop an algorithm for automatic analysis. This thesis includes a semantic classifying method that provides the automatic extraction and classification of users posts in Web 2.0 medical resources by means of machine learning.

Full text (added May 31, 2017)

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