Liars and Saviors in a Sentiment Annotated Corpus of Comments to Political Debates
نویسندگان
چکیده
We investigate the expression of opinions about human entities in user-generated content (UGC). A set of 2,800 online news comments (8,000 sentences) was manually annotated, following a rich annotation scheme designed for this purpose. We conclude that the challenge in performing opinion mining in such type of content is correctly identifying the positive opinions, because (i) they are much less frequent than negative opinions and (ii) they are particularly exposed to verbal irony. We also show that the recognition of human targets poses additional challenges on mining opinions from UGC, since they are frequently mentioned by pronouns, definite descriptions and nicknames.
منابع مشابه
Recognizing Stances in Ideological On-Line Debates
This work explores the utility of sentiment and arguing opinions for classifying stances in ideological debates. In order to capture arguing opinions in ideological stance taking, we construct an arguing lexicon automatically from a manually annotated corpus. We build supervised systems employing sentiment and arguing opinions and their targets as features. Our systems perform substantially bet...
متن کاملMachine learning and sentiment analysis approaches for the analysis of Parliamentary debates
In this thesis the author seeks to establish the most appropriate mechanism for conducting sentiment analysis with respect to political debates; firstly so as to predict their outcome and secondly to support a mechanism to provide for the visualisation of such debates in the context of further analysis. To this end two alternative approaches are considered, a classification-based approach and a...
متن کاملAn Annotated Corpus for Sentiment Analysis in Political News
This article describes a corpus of news texts in Brazilian Portuguese. News were collected from four big newswire outlets, segmented in paragraphs, and marked up by a group of four annotators, who had to classify each paragraph according to two dimensions: target entity (that is the person which is the main subject of the news contained in the paragraph), and the paragraph’s polarity with respe...
متن کاملAnnotating Opinions in German Political News
This paper presents an approach to construction of an annotated corpus for German political news for the opinion mining task. The annotated corpus has been applied to learn relation extraction rules for extraction of opinion holders, opinion content and classification of polarities. An adapted annotated schema has been developed on top of the state-of-the-art research. Furthermore, a general to...
متن کاملSentiment analysis methods in Sentiment analysis methods in Persian text: A survey
With the explosive growth of social media such as Twitter, reviews on e-commerce website, and comments on news websites, individuals and organizations are increasingly using opinions in these media for their decision making. Sentiment analysis is one of the techniques used to analyze userschr('39') opinions in recent years. Persian language has specific features and thereby requires unique meth...
متن کامل