An analytic framework on food trend of Dhaka city using social media reviews and real time data set
AuthorAlif, Redwanul Alam
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I worked with sentiment analysis and supervised machine learning to find pattern and predict the current food trend and business The current food trend of Dhaka city depends on the type of food, the location of the restaurants, their overall services, and the taste of the available food items. In my analysis, I have shown the public sentiment on food trend depending on two (2) major types of food: Local or Deshi and Foreign food items. I have also analyzed the food trend depending on the reviews and rating people shared on social media based on their location according to the basis of taste, price, and service. Through the graph that I achieved from the collected data, I can also analyze the food business of Dhaka city depending on the food types and location of the restaurants. In my research I have used the data of reviews and ratings from different social media groups. Based on these reviews sorted according to locations like Dhanmondi, Banani, Gulshan, Khilgaon and Shyamoli I have analyzed the taste rating, price rating and service ratings. I was able to successfully show the food trend and restaurant business pattern of these locations based on the public reviews using necessary graphs.. This is how by applying supervised machine learning I have analyzed the public sentiment on restaurant and food trend of Dhaka city.