Implementation of Text-Based Sentiment Analysis Using LSTM Model

Sentiment analysis(SA) falls under the applications of NLP or Natural language processing and comes under the category of classification of text. In particular, is a text mining technique that automates the process of evaluating text to ascertain the sentiment represented by using natural language processing (NLP). sentiment analysis actually involves classifying the text into various emotions such as positive, negative or unbiased. sentiment analysis or opinion mining became crucial and also important from the past decades. In this paper we came to know there are many ways to perform sentiment analysis, we took some popular and simple ways to predict and made efforts to find the model which is giving highest accuracy. So therefore, we took a dataset that contains columns such as text id, review. We cleaned the data and choose the data we required and then started building project.