Artificial Intelligence and Sentiment Analysis: A Review in Competitive Research

Author:

Taherdoost Hamed1ORCID,Madanchian Mitra12

Affiliation:

1. Department of Arts, Communications and Social Sciences, University Canada West, Vancouver, BC V6Z 0E5, Canada

2. Research and Development Department, Hamta Business Corporation, Vancouver, BC V6E 1C9, Canada

Abstract

As part of a business strategy, effective competitive research helps businesses outperform their competitors and attract loyal consumers. To perform competitive research, sentiment analysis may be used to assess interest in certain themes, uncover market conditions, and study competitors. Artificial intelligence (AI) has improved the performance of multiple areas, particularly sentiment analysis. Using AI, sentiment analysis is the process of recognizing emotions expressed in text. AI comprehends the tone of a statement, as opposed to merely recognizing whether particular words within a group of text have a negative or positive connotation. This article reviews papers (2012–2022) that discuss how competitive market research identifies and compares major market measurements that help distinguish the services and goods of the competitors. AI-powered sentiment analysis can be used to learn what the competitors’ customers think of them across all aspects of the businesses.

Publisher

MDPI AG

Subject

Computer Networks and Communications,Human-Computer Interaction

Reference58 articles.

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