We propose a sentiment classification method for large scale microblog text based on the
attention mechanism and the bidirectional long short-term memory network (SC-ABiLSTM). We …

Recent studies have shown that news and investors’ comments on social media against listed
companies significantly impact stock price movements. Listed companies suffer abnormal …

In order to gain a deeper understanding of how research performance and collaboration
patterns of institutions affect productivity trends and citations, this paper classifies institutions …

[Objective] To solve the deficiencies of the static information and dynamic comments on the
existing e-commerce platform, the concept of product profile was introduced.[Methods] As a …

This paper analyses review spam from the perspective of the usefulness of information, selects
digital camera reviews as the research object and builds the data set, then from the three …

The Chinese government had published a series of epidemic prevention and control policy
during covid-19. We are able to reveal the emphasis, intention, and diffusion law of those …

This paper aims at filtering the lower credible online Chinese product reviews to offer
valuable reviews for consumers’ purchase decision. Based on the deep analysis of the online …

[Objective] This paper tries to address the issue facing dependency syntactic relation, which
could only extract single noun attributes for military equipment.[Methods] First, we analyzed …

Comment target extraction is the first task for sentiment analysis. Conditional random fields (CRF)
method has achieved good performance on the Named Entity Recognition. In this …

[Objective] This paper proposes a new method to detect real time bursty events accurately
and efficiently from massive micro-blog posts. It provides decision-making information to …