An Approach to Semantic Natural Language Processing of Russian Texts

Solovyev, Valery D.; Polyakov, Vladimir; Ivanov, Vladimir; Anisimov, Ivan; Ponomarev, Andrey

doi:10.13053/rcs-65-1-5

Cited by 1 publication

(1 citation statement)

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“…This phenomenon has a huge impact on various applications such as product review summarization and the public opinion monitoring systems. There is a need and possibility for parallel and distributed computing use in the sphere of NLP (Natural Language Processing) [1]. The analysis of text corpus based on emotions can be used for summarizing the text [2].…”

Section: Introductionmentioning

confidence: 99%

Logical analysis of emotions in text from natural language

Bel'tyukov¹,

Abbasi²

2019

Vestn. Udmurt. Univ. Mat. Mekh. Komp’yut. Nauki

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The study of emotional text analysis today is one of the most interesting and developing areas. The emotions presented in the text and their analysis are a special topic of our interest. In this article, we will explore the various modal judgments in logic, the emotional model and their connection with the analysis of emotions. We will offer interpretations of some simple modalities in connection with information technologies for analyzing emotions in texts. We will expand the logic of the possible worlds; our modalities will better explain and comprehend this logic of the perceived state of the environment. We are presenting the logical formulas for defining the most common modalities for analyzing emotions from text. Our work is a continuation of the work done on modalities with more flexibility and completeness. The paper discusses the logical properties of emotional modalities, the logic of emotional evaluations and the definition of various modalities for analyzing emotions. We propose six different definitions of modalities and use three theorems to prove our hypothesis. This methodology also sets the directions for future research on logical modalities for analyzing emotions from text.

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Section: Introductionmentioning

confidence: 99%