Argument Mining
نویسندگان
چکیده
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’s beliefs about products, institutions, politicians, celebrities. Now, argument mining goes one more step ahead to provide us with instant information not only about what attitudes and opinions people hold, but also about arguments which people give in favour (pro) and against (con) these attitudes and opinions. When this rapidly developing technology will mature, it will allow us to automatically and empirically explore vast amount of social media data (rather than seeking advices and opinions of experts) to give us answers such as why people decided to vote for one presidential candidate rather than the other.
منابع مشابه
From Argument Diagrams to Argumentation Mining in Texts: A Survey
In this paper, the authors consider argument mining as the task of building a formal representation for an argumentative piece of text. Their goal is to provide a critical survey of the literature on both the resulting representations (i.e., argument diagramming techniques) and on the various aspects of the automatic analysis process. For representation, the authors also provide a synthesized p...
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