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Bulletin of the MRSU / Section "Philological sciences" / 2019 № 2.

 

T. Semina

AUTHOR’S OPINION MINING USING INVERSE DOCUMENT FREQUENCY. In: Bulletin of the Moscow Region State University (electronic journal), 2019, no. 2, pp. 171-179.

Doi:10.18384/2224-0209-2019-2-953


UDC Index: 81-114.2

Date of publication: 04.06.2019 Page: 171 - 179

The full text of the article

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Abstract


The purpose of the article is to identify patterns for author’s opinion mining in articles relating to the genre of information journalism, that imposes a restriction on the expression of judgments and opinions. A corpus of political articles has been assembled by the author and the metric from information retrieval called inverse document frequency has been counted for every token in the collection. The applicability of this criterion has been shown for the search of colloquial language which is an indicator of the presence of the author’s opinion. In conclusion, the directions of further research of this problem are formulated and the question of identifying the author’s opinion through the inverse document frequency in other texts is considered.

Key words


sentiment analysis, information retrieval, inverse document frequency, term frequency, opinion

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