Open AccessSentiment analysis based on food e-commerce reviews
Author(s) -
Suoxiang Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/792/1/012023
Subject(s) - word2vec , computer science , word embedding , product (mathematics) , quality (philosophy) , embedding , mechanism (biology) , sentiment analysis , artificial intelligence , data mining , machine learning , information retrieval , mathematics , philosophy , geometry , epistemology
Customer feedback is of great significance for food manufacturers such as wine to improve product quality. With the increase of consumer users, user feedback collection and classification methods in the traditional food industry have become very time-consuming. Aiming at this problem, this paper proposes a method of embedding TD-IDF weighted Word2vec word vector into a bidirectional long and short-term memory network based on the attention mechanism.