E3S Web Conf.
Volume 210, 2020Innovative Technologies in Science and Education (ITSE-2020)
|Number of page(s)||11|
|Published online||04 December 2020|
Moscow Region State University, 10A, Radio Str., 105005, Moscow, Russia
* Corresponding author: firstname.lastname@example.org
Sentiment analysis is a modern task in natural language processing and linguistics. Also referred to as opinion mining, it deals with different kinds of affective states: opinion, emotions, stance and evaluations. Sentiment itself is the polarity of these affective states. Taking analytical articles as source material for the study, several problems should be considered. Firstly, these texts broaden the understanding of the subject of opinion, because it does not coincide with the author of the text in the majority of cases. Secondly, subjects and objects of opinion are entities – words or word combinations with strictly denoted referent. In the paper only Named Entities, that are normally expressed by proper nouns, are considered. This kind of sentiment analysis requires deeper research of possible sentiment relations between entities and of lexical and grammatical influence on these relations. The paper is devoted to the study of the influence of the group of lexemes on opinion structure. The research shows that mutual sentiment can be presented as stable patterns.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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