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ISSN 2063-5346
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CONSUMER SENTIMENT ANALYSIS USING PRINCIPAL COMPONENT ANALYSIS

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Muhammad Abul Kalam, Dr R Udayakumar
» doi: 10.31838/ecb/2023.12.s1.048

Abstract

The emotional states can be correctly assessed through social media. The stock market is a viable arena in which to employ sentiment research. The paper summarizes several of the most influential texts on sentiment analysis. The purpose of this essay is to shed light on the thought process that went into creating the method. The reliability of the data used to evaluate mood analysis tools is a key factor in drawing conclusions about their value. Since the accuracy and model that gets the highest level of precision for each dataset are the performance metrics to focus on. Since the proposed PCA outperformed the traditional PCA in the aspect-based sentiment analysis, this provides further evidence that some machine learning algorithms are more effective than deep learning algorithms

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