ORGANIC OPTIONS: A STUDY OF HYDERABAD, TELANGANA CONSUMER OPINIONS USING SENTIMENTAL ANALYSIS

Abstract

This research investigates consumer opinions on organic options in the city of Hyderabad, Telangana, employing sentiment analysis as a methodology. With the growing awareness of health and environmental concerns, the demand for organic products has witnessed a surge in recent years. Understanding consumer sentiments towards organic options is crucial for businesses and policymakers to align their strategies with consumer preferences. The study utilizes sentiment analysis techniques to analyze a diverse set of opinions sourced from social media platforms, reviews, and online forums. By employing natural language processing algorithms, the sentiments expressed by consumers are categorized into positive, negative, or neutral. The research aims to discern patterns and trends in consumer sentiments, shedding light on the factors influencing their perceptions of organic options. The goal of this study is to collect all of the organic food-related tweets and analyze the sentiment behind them. This study offers suggestions for more objective research methods in studies of food consumption and answers to a desire for the use of big data and text mining in several research domains. Since the food industry is one of the leading causes of climate change, understanding how this influences customer tastes is becoming more and more important. There are a lot of problems with using self-reported methodologies like surveys and interviews to look at how people see organic food.So, to look at how people generally feel about organic foods, we used more objective approaches like text mining and big data in our study. We gathered 43,724 tweets by using Twitter's streaming API. Our topic modeling strategy was based on Latent Dirichlet Allocation (LDA). To find out how well they were selected, we checked whether the topics were relevant. Syuzhet gauged popular sentiment by using the NRC emotion lexicon. Discussions on organic plant-based diets, environmental preservation, organic farming and standards, authenticity, home-delivered meals, and related subjects were indicated by the topic modeling results. The sentiment analysis results show that organic foods are generally well-received by Hyderabadi customers, while some of them are sceptical about the health benefits and pesticide-free promises made for them. The study adds to the body of knowledge on consumer behavior by using research methods based on big data and text mining. By providing a fresh viewpoint on public sentiment toward organic food, this study contributes to the existing body of literature and research on sustainable food consumption.