News Articles Topics Semantic Drift Analysis

Student: Danilova Ekaterina

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Control Systems and Data Processing in Engineering (Master)

Year of Graduation: 2020

The objects of development: articles of various media. The subject of development: correlation of articles among themselves and among different media. The purpose of work The aim of the work is to develop a module that allows to download and compare news media from different countries for the simultaneous appearance of news on a specific topic or ignoring them. Results The following results were obtained: 1. The subject area and technical solutions are analyzed; 2. The five corpuses of the five different media are downloaded; 3. The module that allows to download articles of the selected media is developed; 4. Topic models were trained using a multi-criteria approach called additive regularization of topic modelling; 5. The results are analyzed, both internally and with each other; 6. A final report has been prepared. The direction of further development It would be advisable to improve the results to increase the amount of data for research as well as to improve the accuracy of models. In addition, time series can be used to forecast demand.

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