2020/08/24 by Praphula Kumar Jain, Jain, Praphula Kumar, Rajendra Pamula +1 · 3 citations
Social Sciences · Computer Science · Business, Management and Accounting · #Digital Marketing and Social Media #Sentiment Analysis and Opinion Mining #Consumer Behavior in Brand Consumption and Identification
paper · pdf · doi:10.48550/arxiv.2008.10282
Consumer sentiment analysis is a recent fad for social media related\napplications such as healthcare, crime, finance, travel, and academics.\nDisentangling consumer perception to gain insight into the desired objective\nand reviews is significant. With the advancement of technology, a massive\namount of social web-data increasing in terms of volume, subjectivity, and\nheterogeneity, becomes challenging to process it manually. Machine learning\ntechniques have been utilized to handle this difficulty in real-life\napplications. This paper presents the study to find out the usefulness, scope,\nand applicability of this alliance of Machine Learning techniques for consumer\nsentiment analysis on online reviews in the domain of hospitality and tourism.\nWe have shown a systematic literature review to compare, analyze, explore, and\nunderstand the attempts and direction in a proper way to find research gaps to\nillustrating the future scope of this pairing. This work is contributing to the\nextant literature in two ways; firstly, the primary objective is to read and\nanalyze the use of machine learning techniques for consumer sentiment analysis\non online reviews in the domain of hospitality and tourism. Secondly, in this\nwork, we presented a systematic approach to identify, collect observational\nevidence, results from the analysis, and assimilate observations of all related\nhigh-quality research to address particular research queries referring to the\ndescribed research area.\n