The ongoing COVID-19 has led to an increase in negative emotions and health awareness
among consumers. This paper discusses the emotion bias of Chinese consumers during the …

In view of the difficulty in mining the characteristics of experience-based products, this paper
proposes a method combining LDA and Word2vec to extract product features. This method …

Sentiment analysis is an important research domain for NLP, and currently it mainly focuses
on text context. While our research concentrates on the thinking modes, which influence the …

Microblogging platforms are now one of the most popular means of social media in China.
Carrying sentiment analysis on those platforms can provide valuable insights for various …

The mandarin chinese oral speeches always contain a great number of emotions, and the
speech emotion recognition is a very important key step of natural language understanding …

Complex sentiment analysis starts to attract research interests as subjectivity analysis
becomes hot in natural language processing area. The challenging issues in complex …

Sentiment classification can be widely used in various fields because of the value it has
gained, and has received extensive attention in recent years. No matter the traditional …

The research on text sentiment classification has been very popular. The main methods
include the methods based on rules and lexicons, machine statistical learning, and neural …

This study researched from the direction of the index system in statistics and the idea of
machine learning classification algorithm respectively, and the goal was to research …