Name
Title | ||
|---|---|---|
The User's Psychological State Identification Based on Big Data Analysis for Person's Electronic Diary |
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CSIT52700.2021.9648810 | 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT) |
Keywords | DocType | Volume |
note,impression,user analysis,text tonality,content analysis,speech-to-text,user statistic,psychological state,text format,electronic diary,sentiment analysis,speech recognition,opinion mining,natural language processing,neutral text,positive text,negative text,machine learning | Conference | 1 |
ISSN | ISBN | Citations |
2766-3655 | 978-1-6654-4258-9 | 0 |
PageRank | References | Authors |
0.34 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrii Dyriv | 1 | 0 | 0.34 |
| Vasyl Andrunyk | 2 | 0 | 0.34 |
| Yevhen Burov | 3 | 0 | 0.68 |
| Ihor Karpov | 4 | 0 | 0.34 |
| Lyubomyr Chyrun | 5 | 0 | 1.35 |