A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis

Abstract

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 I1 and I2 in the middle between the extremes Truth T and False F. 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.

Emotion Detection from Text and Sentiment Analysis of Ukraine Russia War using Machine Learning Technique

“…Because of its speed and precision, it may be utilized for asynchronous data. The VADER packages display a positive, neutral, or negative value from individual tweets [79]. We used VADER to analyze the sentiment.…”

Neutrosophy in Unconstrained Nonlinear Optimization

“…Several applications of of neutrosophic systems were described in (Christianto & Smarandache, 2019). An application of neutrosophy in natural language processing and sentiment analysis was investigated in (Mishra et al, 2020).…”

On Single Valued Neutrosophic Regularity Spaces

“…The concept of neutrosophic set theory was introduced by Smarandache [1] as a new mathematical method that corresponds to the indeterminacy degree (uncertainty, etc.). Bakbak et al [2] and Mishra et al [3] applied the soft set theory successfully applied in several This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. areas, such as the smoothness of functions, as well as architecture-based, neuro-linguistic programming.…”