As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality
phrases from a text corpus and has various downstream applications including information …

Phrase mining is a fundamental text mining task that aims to identify quality phrases from
context. Nevertheless, the scarcity of extensive gold labels datasets, demanding substantial …

Abstract Community Question Answering (CQA) has become an indispensable way for
modern people to share and acquire knowledge. It allows users to ask questions, which will …

A phrase is a natural, meaningful, and essential semantic unit. In topic modeling, visualizing
phrases for individual topics is an effective way to explore and understand unstructured text …

Phrase mining is a key research problem for semantic analysis and text-based information
retrieval. The existing approaches based on NLP, frequency, and statistics cannot extract …

In recent years, short text topic modeling has drawn considerable attentions from
interdisciplinary researchers. Various customized topic models have been proposed to …

[Objective] This paper aims to identify the interdisciplinary subjects based on the feature
measure method and the PhraseLDA model.[Methods] First, we analyzed the subjects' …

Traditional topic models have been widely used for analyzing semantic topics from
electronic documents. However, the obvious defects of topic words acquired by them are …

Suicide is a serious public health problem; however, suicides are preventable with timely,
evidence-based interventions. Social media platforms have been serving users who are …

Phrase mining aims to automatically extract high-quality phrases from a given corpus, which
serves as the essential step in transforming unstructured text into structured information …