Sentiment Analysis of User Reviews on Bert-Based E-Commerce Platforms

The task of e-commerce platform user review sentiment analysis is to collect user reviews on various e-commerce platforms to make a dataset, and then manually annotate them with labels to perform sentiment analysis using deep learning methods. In deep learning-based sentiment analysis, embedding generation of text and feature extraction are the core parts, and this paper chooses to study these two parts and proposes a deep learning model based on bert-bigru-textcnn.