Argument Mining Driven Analysis of Peer-Reviews

Identifying Localization in Peer Reviews of Argument Diagrams

Peer-review systems such as SWoRD lack intelligence for detecting and responding to problems with students’ reviewing performance. While prior work has demonstrated the feasibility of automatically identifying desirable feedback features in free-text reviews of student papers, similar methods have not yet been developed for feedback regarding argument diagrams. One desirable feedback feature is...

Knowledge-driven argument mining based on the qualia structure

Given a controversial issue, argument mining from texts in natural language is extremely challenging: besides linguistic aspects, domain knowledge is often required together with appropriate forms of inferences to identify arguments. Via the analysis of various corpora, this contribution explores the types of knowledge that are required to develop an efficient argument mining system. We show th...

Argument Mining

Fast, automatic processing of texts posted on the Internet to find positive and negative attitudes towards products and companies gave sentiment analysis, an area of text mining, a significant application in predicting trends on stock markets. Opinion mining further extended the scope of the search to help companies, such as those specialising in media analysis, to automate extraction of people...

Mining Interesting Aspects of a Product using Aspect-based Opinion Mining from Product Reviews (RESEARCH NOTE)

As the internet and its applications are growing, E-commerce has become one of its rapid applications. Customers of E-commerce were provided with the opportunity to express their opinion about the product on the web as a text in the form of reviews. In the previous studies, mere founding sentiment from reviews was not helpful to get the exact opinion of the review. In this paper, we have used A...

Disadvantages of Peer Reviews