Analysing the Emotions of Food Products Reviewsusing NLP and Adaboost Algorithm

In the modern world, communication takes place over a large geographic region, and the Internet is expanding. Social media platforms enable text-based communication and human contact using either Emojis or text. The ability to express one’s emotions through emotion is crucial to human existence. Speaking, making gestures, showing facial expression, and writing in comments are all ways to express emotions. A fascinating field of study has just arisen, and researchers are delving deeper into a variety of sorts of analysis, with emotional analysis being the most popular. Emotional analysis comes in three flavours: positive, negative, and neutral. Giving computers the ability to perceive, comprehend, and elicit certain emotional traits in a manner similar to those of humans is the aim of emotional computingso that they can communicate naturally, amicably, vividly, and with the same emotional intelligence as people. The development goal of the next-generation computer is to figure out how to humanise it and adaptively create the cosiest discussion atmosphere for the dialogue objects. In today’s fiercely competitive business environment, gaining knowledge about consumer habits, wants, preferences, purchasing trends, and decision-making processes is crucial for brands and businesses. When determining the breadth and type of emotional analysis based on food reviews and feedback in e-commerce, our research will take a close look at the most often held points of view. A study on emotional analysis is required for social platforms because the information may become popular and have a big impact on social life. Emoji-based text-based emotion recognition is related to the NLP area (natural language processing). Additionally, we suggested the Adaboost algorithm as an approach to identifying emotion using only emojis. These techniques address the issue of identifying emotions both within and outside of sentences.