Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

Polarization arises when the underlying network connecting the members of a community or
society becomes characterized by highly connected groups with weak intergroup …

As part of the “text-as-data” movement, Natural Language Processing (NLP) provides a
computational way to examine political polarization. We conducted a methodological …

Sentiment analysis has become a powerful tool in processing and analysing expressed
opinions on a large scale. While the application of sentiment analysis on English-language …

Social media platforms provide a goldmine for mining public opinion on issues of wide
societal interest and impact. Opinion mining is a problem that can be operationalised by …

Many of the interactions between users on social networks are controversial, specially in
polarized environments. In effect, rather than producing a space for deliberation, these …

Quantifying the amount of polarization is crucial for understanding and studying political
polarization in political and social systems. Several methods are used commonly to measure …

Moderation of user-generated content in an online community is a challenge that has great
socio-economic ramifications. However, the costs incurred by delegating this paper to …

With the widespread use of online social networks, it is becoming more and more difficult to
monitor and analyse all the user-generated content. Toxic speech in online conversations …

摘要院[目的/意义] 论证挖掘是近年来计算语言学领域的热点研究内容, 为论证计算模型提供机器
可处理的结构化数据, 对其研究现状及进展进行总结和分析可为后续的研究及应用深化提供借鉴 …