基于JSM方法的文本调性计算机分析

Felix A. Desyatirikov, V. Mager, E. N. Desyatirikova, O. Minakova, N. Akamsina
{"title":"基于JSM方法的文本调性计算机分析","authors":"Felix A. Desyatirikov, V. Mager, E. N. Desyatirikova, O. Minakova, N. Akamsina","doi":"10.1109/EICONRUS.2019.8656847","DOIUrl":null,"url":null,"abstract":"The necessity of taking into account the coefficient of emotionality of lexemes to assess the emotionality of the text, which should be taken into account in voice control systems, is substantiated. The reduction of the JSM method was made, which made it possible to apply it to solving the problem of estimating the emotional load of the text. The core of the program module has been formed as part of a thesaurus classifier trained on collections of expert texts. The analysis of the quality of the proposed method of estimating the tonality of the text is presented. The results of the calculated values of the efficiency metrics showed that the use of a manual tonal dictionary allows to obtain a more accurate assessment of the text tonality and significantly reduce the operating time, since, compared to the automatic dictionary, the manual dictionary does not contain neutral words. The dependence of the accuracy of determining the tonality on the conflict resolution function used to classify texts by tonality and the number of training texts was discovered. The problem of limited emotive space was discovered: some of the words did not fall or partly fell under the binary classification. The algorithm for determining the tonality of the morphological composition of the text on the basis of the JSM method using tonal dictionaries and classification allows you to determine the tonality of the text on a binary scale.","PeriodicalId":6748,"journal":{"name":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"13 1","pages":"220-224"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Computer Analysis of Text Tonality Based on the JSM Method\",\"authors\":\"Felix A. Desyatirikov, V. Mager, E. N. Desyatirikova, O. Minakova, N. Akamsina\",\"doi\":\"10.1109/EICONRUS.2019.8656847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The necessity of taking into account the coefficient of emotionality of lexemes to assess the emotionality of the text, which should be taken into account in voice control systems, is substantiated. The reduction of the JSM method was made, which made it possible to apply it to solving the problem of estimating the emotional load of the text. The core of the program module has been formed as part of a thesaurus classifier trained on collections of expert texts. The analysis of the quality of the proposed method of estimating the tonality of the text is presented. The results of the calculated values of the efficiency metrics showed that the use of a manual tonal dictionary allows to obtain a more accurate assessment of the text tonality and significantly reduce the operating time, since, compared to the automatic dictionary, the manual dictionary does not contain neutral words. The dependence of the accuracy of determining the tonality on the conflict resolution function used to classify texts by tonality and the number of training texts was discovered. The problem of limited emotive space was discovered: some of the words did not fall or partly fell under the binary classification. The algorithm for determining the tonality of the morphological composition of the text on the basis of the JSM method using tonal dictionaries and classification allows you to determine the tonality of the text on a binary scale.\",\"PeriodicalId\":6748,\"journal\":{\"name\":\"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"volume\":\"13 1\",\"pages\":\"220-224\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EICONRUS.2019.8656847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUS.2019.8656847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

论证了语音控制系统中应考虑的语词情感系数对文本情感评价的必要性。对JSM方法进行了约简,使其应用于解决文本情感负荷估计问题成为可能。该程序模块的核心已形成的一部分,在专家文本的集合训练的同义词典分类器。对所提出的文本调性估计方法的质量进行了分析。效率指标的计算值结果表明,使用手动调性词典可以获得更准确的文本调性评估,并显着减少操作时间,因为与自动词典相比,手动词典不包含中性词。发现音调识别的准确性依赖于按音调分类文本的冲突解决函数和训练文本的数量。发现了情感空间有限的问题:有些词不属于或部分属于二元分类。在使用音调字典和分类的JSM方法的基础上确定文本形态组成的音调的算法允许您在二进制尺度上确定文本的音调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Analysis of Text Tonality Based on the JSM Method
The necessity of taking into account the coefficient of emotionality of lexemes to assess the emotionality of the text, which should be taken into account in voice control systems, is substantiated. The reduction of the JSM method was made, which made it possible to apply it to solving the problem of estimating the emotional load of the text. The core of the program module has been formed as part of a thesaurus classifier trained on collections of expert texts. The analysis of the quality of the proposed method of estimating the tonality of the text is presented. The results of the calculated values of the efficiency metrics showed that the use of a manual tonal dictionary allows to obtain a more accurate assessment of the text tonality and significantly reduce the operating time, since, compared to the automatic dictionary, the manual dictionary does not contain neutral words. The dependence of the accuracy of determining the tonality on the conflict resolution function used to classify texts by tonality and the number of training texts was discovered. The problem of limited emotive space was discovered: some of the words did not fall or partly fell under the binary classification. The algorithm for determining the tonality of the morphological composition of the text on the basis of the JSM method using tonal dictionaries and classification allows you to determine the tonality of the text on a binary scale.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信