Abstract
Analyzing opinions and arguments in news editorials and op-eds is an interesting and a challenging task. The challenges lie in multiple levels – the text has to be analyzed in the discourse level (paragraphs and above) and also in the lower levels (sentence, phrase and word levels). The abundance of implicit opinions involving sarcasm, irony and biases adds further complexity to the task. The available methods and techniques on sentiment analysis and opinion mining are still much focused in the lower levels, i.e., up to the sentence level. However, the given task requires the application of the concepts from a number of closely related sub-disciplines – Sentiment Analysis, Argumentation Theory, Discourse Analysis, Computational Linguistics, Logic and Reasoning etc. The primary argument of this paper is that partial solutions to the problem can be achieved by developing linguistic resources and using them for automatically annotating the texts for opinions and arguments. This paper discusses the ongoing efforts in the development of linguistic resources for annotating opinionated texts, which are useful in the analysis of opinions and arguments in news editorials and op-eds.
Highlights
News editorials and op-eds, which fall under particular kinds of persuasive texts, are rich sources for discourse analysis on particular events
Given a computational perspective to address the above task, there is clearly a need to analyze the texts in different levels – the discourse level, the sentence level, phrase level and the word level.This encompasses the application of the concepts from a number of closely related disciplines like Sentiment Analysis, Argumentation Theory, Discourse Analysis, Computational
The paper presented on the ongoing efforts towards developing linguistic resources for automatic annotation and analysis of opinions and arguments in editorials www.ijacsa.thesai.org and op-eds
Summary
News editorials and op-eds, which fall under particular kinds of persuasive texts, are rich sources for discourse analysis on particular events. Since editorials are necessarily views and opinions of the news agencies or the columnist involved, it is often the case that all possible measures of persuasion are employed lest the text sounded convincing or persuading. The primary argument of this paper is that partial solutions to the problem can be achieved by developing linguistic resources and using them for automatically annotating data for opinions and arguments. Such annotated data would be very useful in the analysis of opinions and arguments. This paper discusses the ongoing efforts in the development of linguistic resources for analyzing opinions and arguments in news editorials and opeds.
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