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- W4200183722 abstract "This paper considers the development of a software application of the electronic diary. An analysis of the psychological state is carried out based on notes that the user makes daily. The methods of analysis of the text by the vocabulary of words and by dictionary n-grams are considered. The article aims to develop and describe the Texty project as a system of translating a recording from a Dictaphone into text. This paper is devoted to the fascinating and helpful task of speech-to-text converting for sentiment analysis. The obtained results can be beneficial in many applications, especially in medical diagnostic. Real examples will illustrate the paper. The comparison with known approaches shows the effectiveness of the proposed method." @default.
- W4200183722 created "2021-12-31" @default.
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- W4200183722 date "2021-09-22" @default.
- W4200183722 modified "2023-10-18" @default.
- W4200183722 title "The User's Psychological State Identification Based on Big Data Analysis for Person's Electronic Diary" @default.
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- W4200183722 doi "https://doi.org/10.1109/csit52700.2021.9648810" @default.
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