Analysis of the Emotional Coloring of the Comments in Social Networks

Student: Groshev Alexander

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

Educational Programme: Applied Mathematics (Bachelor)

Final Grade: 7

Year of Graduation: 2019

The object of this research is the analysis of the emotional coloring of the comments in social networks. The purpose of the work is a review of the subject area of sentiment analysis, research and description of automatic approaches for determining the polarity of the text of comments and the software implementation of an approach that combines machine learning algorithms and ideas of using dictionaries for lexical analysis. The analysis was conducted on data from the social network Twitter. In the course of the work, features of text data preprocessing, as well as text vectorization algorithms, were described. The result of the work is the implementation of models in the Python programming language with the subsequent analysis of the results obtained with illustrating the effectiveness of the approach.

Full text (added May 26, 2019)

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