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Sentiwordnet: A publicly available lexical resource for opinion mining
- In In Proceedings of the 5th Conference on Language Resources and Evaluation (LRECÕ06
, 2006
"... Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about products ..."
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Cited by 376 (5 self)
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of opinionated content has a positive or a negative connotation. Research on determining whether a term is indeed a marker of opinionated content (a subjective term) or not (an objective term) has been, instead, much more scarce. In this work we describe SENTIWORDNET, a lexical resource in which each WORDNET
LOWER COURT INFLUENCE ON U.S. SUPREME COURT OPINION CONTENT*
"... Despite the importance of Supreme Court opinions for the American polity, scholars have dedicated little systematic research to investigating the factors that contribute to the content of the Court’s opinions. In this paper, we examine the ability of lower federal courts to shape the content of Supr ..."
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Cited by 1 (0 self)
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Despite the importance of Supreme Court opinions for the American polity, scholars have dedicated little systematic research to investigating the factors that contribute to the content of the Court’s opinions. In this paper, we examine the ability of lower federal courts to shape the content
Improving judicial ideal point estimates with a more realistic model of opinion content
, 2006
"... We extend the dynamic item response theory model of Martin and Quinn (2002) by including information about the court of origin and the opinion writer using a dynamic item response theory (IRT) model with a hierarchical prior. The model is estimated using Markov chain Monte Carlo methods. This approa ..."
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We extend the dynamic item response theory model of Martin and Quinn (2002) by including information about the court of origin and the opinion writer using a dynamic item response theory (IRT) model with a hierarchical prior. The model is estimated using Markov chain Monte Carlo methods
Who Controls Opinion Content? Testing Theories of Authorship using Case-Specific Preference Estimates for the US Supreme Court *
"... ABSTRACT Recent research has demonstrated that the preferences of US Supreme Court justices are not simply unidimensional. We demonstrate a new approach to Bayesian preference estimation that estimates case-specific preferences for justices, using a conditional autoregressive model with citation co ..."
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with the Chief Justice, and patterns of other justices joining those opinions are consistent with the idea that authors shape the content of opinions. * We thank Andrew Martin and Maya Sen for helpful comments and suggestions. Earlier versions of this paper were presented at the
Combining Content-Based and Collaborative Filters in an Online Newspaper
, 1999
"... The explosive growth of mailing lists, Web sites and Usenet news demands effective filtering solutions. Collaborative filtering combines the informed opinions of humans to make personalized, accurate predictions. Content-based filtering uses the speed of computers to make complete, fast predictions ..."
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Cited by 229 (2 self)
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The explosive growth of mailing lists, Web sites and Usenet news demands effective filtering solutions. Collaborative filtering combines the informed opinions of humans to make personalized, accurate predictions. Content-based filtering uses the speed of computers to make complete, fast
Combining collaborative filtering with personal agents for better recommendations
- Proceedings of AAAI
, 1999
"... Information filtering agents and collaborative filtering both attempt to alleviate information overload by identifying which items a user will find worthwhile. Information filtering (IF) focuses on the analysis of item content and the development of a personal user interest profile. Collaborative fi ..."
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Cited by 283 (14 self)
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Information filtering agents and collaborative filtering both attempt to alleviate information overload by identifying which items a user will find worthwhile. Information filtering (IF) focuses on the analysis of item content and the development of a personal user interest profile. Collaborative
A Holistic Lexicon-Based Approach to Opinion Mining
, 2008
"... One of the important types of information on the Web is the opinions expressed in the user generated content, e.g., customer reviews of products, forum posts, and blogs. In this paper, we focus on customer reviews of products. In particular, we study the problem of determining the semantic orientati ..."
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Cited by 186 (11 self)
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One of the important types of information on the Web is the opinions expressed in the user generated content, e.g., customer reviews of products, forum posts, and blogs. In this paper, we focus on customer reviews of products. In particular, we study the problem of determining the semantic
OPINION
"... According to the Montreal definition, gastro-oesophageal reflux disease (GORD) is a condition that develops when reflux of the stomach contents into the oesopha- ..."
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According to the Montreal definition, gastro-oesophageal reflux disease (GORD) is a condition that develops when reflux of the stomach contents into the oesopha-
Twitter Power: Tweets as Electronic Word of Mouth
"... In this paper we report research results investigating microblogging as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions.We investigated the overall structure of ..."
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Cited by 216 (3 self)
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In this paper we report research results investigating microblogging as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions.We investigated the overall structure
Contents
, 1997
"... The conclusions and opinions expressed in this document are those of the author. ..."
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The conclusions and opinions expressed in this document are those of the author.
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