A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis
With increasing data on the Internet, it is becoming difficult to analyze every bit and make sure it can be used efficiently for all the businesses. One useful technique using Natural Language Processing (NLP) is sentiment analysis. Various algorithms can be used to classify textual data based on va...
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MDPI AG
2020-10-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/12/10/1715 |
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| author | Kritika Mishra Ilanthenral Kandasamy Vasantha Kandasamy W. B. Florentin Smarandache |
| author_facet | Kritika Mishra Ilanthenral Kandasamy Vasantha Kandasamy W. B. Florentin Smarandache |
| author_sort | Kritika Mishra |
| collection | DOAJ |
| description | With increasing data on the Internet, it is becoming difficult to analyze every bit and make sure it can be used efficiently for all the businesses. One useful technique using Natural Language Processing (NLP) is sentiment analysis. Various algorithms can be used to classify textual data based on various scales ranging from just positive-negative, positive-neutral-negative to a wide spectrum of emotions. While a lot of work has been done on text, only a lesser amount of research has been done on audio datasets. An audio file contains more features that can be extracted from its amplitude and frequency than a plain text file. The neutrosophic set is symmetric in nature, and similarly refined neutrosophic set that has the refined indeterminacies <inline-formula><math display="inline"><semantics><msub><mi>I</mi><mn>1</mn></msub></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><msub><mi>I</mi><mn>2</mn></msub></semantics></math></inline-formula> in the middle between the extremes Truth <i>T</i> and False <i>F</i>. Neutrosophy which deals with the concept of indeterminacy is another not so explored topic in NLP. Though neutrosophy has been used in sentiment analysis of textual data, it has not been used in speech sentiment analysis. We have proposed a novel framework that performs sentiment analysis on audio files by calculating their Single-Valued Neutrosophic Sets (SVNS) and clustering them into positive-neutral-negative and combines these results with those obtained by performing sentiment analysis on the text files of those audio. |
| first_indexed | 2024-03-10T15:32:24Z |
| format | Article |
| id | doaj.art-5477ee34baba4823b8ba7b4ebfe9deb3 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-10T15:32:24Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-5477ee34baba4823b8ba7b4ebfe9deb32023-11-20T17:32:19ZengMDPI AGSymmetry2073-89942020-10-011210171510.3390/sym12101715A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment AnalysisKritika Mishra0Ilanthenral Kandasamy1Vasantha Kandasamy W. B.2Florentin Smarandache3Shell India Markets, RMZ Ecoworld Campus, Marathahalli, Bengaluru, Karnataka 560103, IndiaSchool of Computer Science and Engineering, VIT, Vellore 632014, IndiaSchool of Computer Science and Engineering, VIT, Vellore 632014, IndiaDepartment of Mathematics, University of New Mexico, 705 Gurley Avenue, Gallup, NM 87301, USAWith increasing data on the Internet, it is becoming difficult to analyze every bit and make sure it can be used efficiently for all the businesses. One useful technique using Natural Language Processing (NLP) is sentiment analysis. Various algorithms can be used to classify textual data based on various scales ranging from just positive-negative, positive-neutral-negative to a wide spectrum of emotions. While a lot of work has been done on text, only a lesser amount of research has been done on audio datasets. An audio file contains more features that can be extracted from its amplitude and frequency than a plain text file. The neutrosophic set is symmetric in nature, and similarly refined neutrosophic set that has the refined indeterminacies <inline-formula><math display="inline"><semantics><msub><mi>I</mi><mn>1</mn></msub></semantics></math></inline-formula> and <inline-formula><math display="inline"><semantics><msub><mi>I</mi><mn>2</mn></msub></semantics></math></inline-formula> in the middle between the extremes Truth <i>T</i> and False <i>F</i>. Neutrosophy which deals with the concept of indeterminacy is another not so explored topic in NLP. Though neutrosophy has been used in sentiment analysis of textual data, it has not been used in speech sentiment analysis. We have proposed a novel framework that performs sentiment analysis on audio files by calculating their Single-Valued Neutrosophic Sets (SVNS) and clustering them into positive-neutral-negative and combines these results with those obtained by performing sentiment analysis on the text files of those audio.https://www.mdpi.com/2073-8994/12/10/1715sentiment analysisspeech analysisneutrosophic setsindeterminacySingle-Valued Neutrosophic Sets (SVNS)clustering algorithm |
| spellingShingle | Kritika Mishra Ilanthenral Kandasamy Vasantha Kandasamy W. B. Florentin Smarandache A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis Symmetry sentiment analysis speech analysis neutrosophic sets indeterminacy Single-Valued Neutrosophic Sets (SVNS) clustering algorithm |
| title | A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis |
| title_full | A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis |
| title_fullStr | A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis |
| title_full_unstemmed | A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis |
| title_short | A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis |
| title_sort | novel framework using neutrosophy for integrated speech and text sentiment analysis |
| topic | sentiment analysis speech analysis neutrosophic sets indeterminacy Single-Valued Neutrosophic Sets (SVNS) clustering algorithm |
| url | https://www.mdpi.com/2073-8994/12/10/1715 |
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