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Opinion Mining and Sentiment Analysis
, 2008
"... An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, active ..."
Abstract
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Cited by 749 (3 self)
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, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part
Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- In Proceedings of HLT-EMNLP
, 2005
"... This paper presents a new approach to phrase-level sentiment analysis that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions. With this approach, the system is able to automatically identify the contextual polarity for a large sub ..."
Abstract
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Cited by 454 (15 self)
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This paper presents a new approach to phrase-level sentiment analysis that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions. With this approach, the system is able to automatically identify the contextual polarity for a large
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
- PROCEEDINGS OF THE ACL
, 2004
"... Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as “thumbs up” or “thumbs down”. To determine this sentiment polarity, we propose a novel machine-learning method that applies text-categorization techniques to just the ..."
Abstract
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Cited by 618 (7 self)
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Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as “thumbs up” or “thumbs down”. To determine this sentiment polarity, we propose a novel machine-learning method that applies text-categorization techniques to just
and Sentiment Analysis
, 2013
"... Summarisation and sentiment analysis are the key NLP technologies which allow monitoring evolving content and opinions in huge amounts of textual data available on the web. Summarisa-tion can address the problem of information overload by extracting and presenting the main con-tent and sentiment ana ..."
Abstract
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Summarisation and sentiment analysis are the key NLP technologies which allow monitoring evolving content and opinions in huge amounts of textual data available on the web. Summarisa-tion can address the problem of information overload by extracting and presenting the main con-tent and sentiment
Sentiment Analysis of Twitter Data
"... We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity features. (2) We explore the use of a tree kernel to obviate the need for tedious feature engineering. The new features (in conjunction with previously proposed features) ..."
Abstract
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Cited by 91 (4 self)
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We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity features. (2) We explore the use of a tree kernel to obviate the need for tedious feature engineering. The new features (in conjunction with previously proposed features
Sentiment analysis in multiple languages
- ACM Transactions on Information Systems
, 2008
"... The Internet is frequently used as a medium for exchange of information and opinions, as well as propaganda dissemination. In this study the use of sentiment analysis methodologies is proposed for classification of web forum opinions in multiple languages. The utility of stylistic and syntactic feat ..."
Abstract
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Cited by 99 (6 self)
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The Internet is frequently used as a medium for exchange of information and opinions, as well as propaganda dissemination. In this study the use of sentiment analysis methodologies is proposed for classification of web forum opinions in multiple languages. The utility of stylistic and syntactic
Twitter as a corpus for sentiment analysis and opinion mining
- In Proceedings of the Seventh Conference on International Language Resources and Evaluation
"... Microblogging today has become a very popular communication tool among Internet users. Millions of users share opinions on different aspects of life everyday. Therefore microblogging web-sites are rich sources of data for opinion mining and sentiment analysis. Because microblogging has appeared rela ..."
Abstract
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Cited by 235 (2 self)
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Microblogging today has become a very popular communication tool among Internet users. Millions of users share opinions on different aspects of life everyday. Therefore microblogging web-sites are rich sources of data for opinion mining and sentiment analysis. Because microblogging has appeared
Sentiment analysis and subjectivity
- Handbook of Natural Language Processing, Second Edition. Taylor and Francis Group, Boca
, 2010
"... Textual information in the world can be broadly categorized into two main types: facts and opinions. Facts are objective expressions about entities, events and their properties. Opinions are usually subjective expressions that describe people’s sentiments, appraisals or feelings toward entities, eve ..."
Abstract
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Cited by 128 (9 self)
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Textual information in the world can be broadly categorized into two main types: facts and opinions. Facts are objective expressions about entities, events and their properties. Opinions are usually subjective expressions that describe people’s sentiments, appraisals or feelings toward entities
Results 1 - 10
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2,146
