An Exploratory Study on the Sentiment Analysis of Users Towards Using Chatgpt

Abstract

ChatGPT boosts productivity and decision-making by offering immediate, precise information and individualised support. It can handle a wide range of duties, from creating material to deciphering intricate queries, making it a useful tool for both personal and business use. Sentiment analysis, also known as opinion mining, is a computational technique used to determine and classify the emotional tone expressed in text. The current study used a mixed-method approach. Structured data was analysed using a bar chart, and unstructured data was analysed using sentiment analysis (word cloud). It was seen that 65.91 % of respondents have given overall good rating towards ChatGPT and 34.09% of respondents have given poor rating towards ChatGPT. It was also seen that 45.45% respondents have given overall negative feedback towards ChatGPT and 54.55% of respondents have given positive feedback towards ChatGPT. Further it was also seen that respondents who had given negative feedback faced various problems and challenges viz. Inaccurate information, ethical concerns, language quality, sensitivity, technical, and creativity Limitations, response generations, linguistic mismatch, Research barriers, misunderstanding, cultural dependency and variability data.