Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (GRUs) Model

arXiv:2404.17123v1 Announce Type: new
Abstract: This paper explores the importance of text sentiment analysis and classification in the field of natural language processing, and proposes a new approach to sentiment analysis and classification based on the bidirectional gated recurrent units (GRUs) model. The study firstly analyses the word cloud model of the text with six sentiment labels, and then carries out data preprocessing, including the steps of removing special symbols, punctuation marks, numbers, stop words and non-alphabetic parts. Subsequently, the …

abstract analysis arxiv classification cs.cl importance language language processing natural natural language natural language processing paper processing sentiment sentiment analysis study text type units