As text semantics has an important role in text meaning, the term semantics has been seen
in a vast sort of text mining studies. However, there is a lack of studies that integrate the …

In the short text, the extremely short length, feature sparsity, and high ambiguity pose huge
challenges to classification tasks. Recently, as an effective method for tuning Pre-trained …

Social networking sites such as Facebook or Twitter attract millions of users, who everyday
post an enormous amount of content in the form of tweets, comments and posts. Since social …

With the rise of Web 2.0 platforms, personal opinions, such as reviews, ratings,
recommendations, and other forms of user-generated content, have fueled interest in …

Word segmentation is the first step in Chinese natural language processing, and the error
caused by word segmentation can be transmitted to the whole system. In order to reduce the …

Social media, eg Twitter, has become a widely used medium for the exchange of
information, but it has also become a valuable tool for hackers to spread misinformation …

Background In biomedical research, events revealing complex relations between entities
play an important role. Biomedical event trigger identification has become a research …

Owing to the plentiful participation of knowledgeable users, an online social network could
be seen as a large group of experts that support the decisions of online users. Collective …

Online social networks have become a vital medium for communication. With these
platforms, users have the freedom to share their opinions as well as receive information from …

Twitter exhibits several characteristics, including a limited number of features and noisy text
information. Extracting valuable information from Twitter has made hot topic detection a …