A Review: Sentiment Analysis in Conversational Data

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Author(s): Anisha Gugale (Woxsen University, India)and Anindita Majumdar (Woxsen University, India)
Copyright: 2024
Pages: 22
Source title: AI Impacts in Digital Consumer Behavior
Source Author(s)/Editor(s): Thomas Heinrich Musiolik (Woxsen University, India & University of Europe for Applied Sciences, Germany), Raul Villamarin Rodriguez (Woxsen University, India)and Hemachandran Kannan (Woxsen University, India)
DOI: 10.4018/979-8-3693-1918-5.ch007

Keywords: Business Science Reference / Consumer Behavior / Knowledge Management and Library Science / Marketing

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Abstract

Any consumer's sentiment associated with a product is the most important aspect in determining the future selling prospect of that product. And there's no other way better than conversation to find that out. AI facilitates the makers of a product in finding out exactly what the consumers need and what he/she does not want. The provision of ‘writing reviews' on a website or an app is unidirectional and helpful in limited ways. To understand the sentiment of the consumer, an efficient understanding of their needs and wants is required – and this we get through collecting ‘conversational data'. Conversation between human beings is not simply just the exchange of words. There is a deeper meaning to it. Emotions are greatly involved. Is AI fully capable of understanding consumer sentiments and getting the exact required data from them? The AI chatbots must have the ability to find out the triggers of their consumers. And the aim of this research is the same – finding out how efficient conversational data is in analysing consumers' sentiments.

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A Review: Sentiment Analysis in Conversational Data

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