An Analysis on Sentiments Using Deep Learning Approaches
Paninee Bharti, Vikas Sagar, Bhawna Wadhwa · 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) · 2022
Sentiment analysis is a method for examining public sentiment. It is often referred to as opinion mining. Deep learning (DL) approaches, which contribute to the solution of a broad range of issues at the same time, have acquired appeal among researchers in this area. RNNs are a form of neural network that has been effectively applied to natural language processing (NLP) software. Using a word vector space model and in this research, an expression sentiment analysis system is developed using a recurrent neural network and deep learning. We utilized an RNN algorithm called Long Short-Term Memory to do opinion classification and categorize the output as positive, negative, or neutral. To assess how effectively the deep learning (DL) method is performing, parameters like as accuracy, precision, recall, and F1-score are used.