Text Classification Into Emotional States using Deep Learning based BERT Technique
Madineni Priyanka, Pushadapu Karthik, Prasanth Yalla · 2023
Sentiment analysis, a subset of Natural Language Processing (NLP), has grown in relevance as the modern lifestyles have become more reliant on social media. Emotional expressions include actions, feelings, ideas, and nonverbal cues. Modern approaches for Natural Language Processing (NLP) have their origins in machine learning, notably statistical machine learning. This study introduces BERT, an innovative technique for reading sentiments into written language. This model is a synthesis of motor Bidirectional Encoder Representations From Transformers (BERT) representations. In order to develop its learning algorithm of word semantic representation, this model makes use of the BERT. In line with the language context, a comparison of models found that BERT outperforms the government foundation efficiency given by all the other models in the literature. Opinion mining is a branch of natural language processing that analyses public discourse to gauge public opinion on a product or topic.