International Research Journal of Education and Technology

Sentiment analysis in today's digital world, especially when it comes to website development and the creation of a company profile on social media and other digital platforms.  It helps to tackle customer inquiries digitally and they are a way to determine whether to purchase any particular company product and maintain the review platform good to protect the face of the company. Natural Language Processing (NLP) is a field of artificial intelligence (AI) that focuses on the interaction between computers and human language. The goal of NLP is to enable machines to read, understand, interpret, and generate human language in a meaningful way. It processes and analyzes vast volumes of natural language data by combining methods from machine learning, computer science, and linguistics. Applications like chatbots, machine translation, sentiment analysis, speech recognition, and text summarization all make extensive use of natural language processing (NLP). In this study, we go over how sentiment analysis is carried out using Natural Language Processing (NLP). How NLP transfers the data to meaningful conclusions for sentiment analysis, how they code human language, and how they employ specific tools.

Keywords : Sentiment Analysis, NLP, human language.