Using Machine Learning Methods to Implement a Service for Publishing News in a Given Style

Student: Dolgaleva Irina

Supervisor: Rostislav Yavorskiy

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 8

Year of Graduation: 2017

Nowadays, news portals are forced to seek new methods of engaging the audience due to the increasing competition in today’s mass media. The growth in loyalty of news service consumers may further a rise of popularity and, as a result, additional advertising revenue. Therefore, I propose the tool that is intended for stylish presenting of facts from a news feed. The basic idea is to use a collection of classical literature or poetry as a dictionary of style. The facts are extracted from news texts through Tomita Parser and then presented in the form similar to a sample from the collection. In this framework, I present the current state of a prototype of system rephrasing news I am currently working on.

Full text (added May 27, 2017)

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