An Effective Sentiment Analysis Model for Tobacco Consumption

• DOI: 10.1145/3581807.3581880
• Publication Date: 2023-05-23T00:02:28Z
• Authors: Yanru Hao; Tianchi Yang; Chuan Shi; Rui Wang; Ding Xiao
• Keywords: Sentiment Analysis; Consumption; Baseline (sea)

Analysis over product reviews has drawn much attention due to its wide application. Most of the sentiment analysis research focuses on entertainment and catering limitation existing public datasets. In order promote comprehensiveness data in field analysis, we present a new large-scale multi-sentiment tobacco dataset by distilling effective consumer experience information from massive online consumption. The release this would push forward field. With goal advancing facilitating overall sentences with multiple aspects, propose simple yet EHCRNN model, which combines strengths recent NLP advances. Experiments our nlpcc2014 task show that proposed model significantly outperforms state-of-the-art baseline methods.