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Opinion Mining and Sentiment Analysis

by Bo Pang, Lillian Lee , 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 - Cited by 749 (3 self) - Add to MetaCart
, 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

by Theresa Wilson - 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 - Cited by 454 (15 self) - Add to MetaCart
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

by Bo Pang , Lillian Lee - 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 - Cited by 618 (7 self) - Add to MetaCart
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

by Multilingual Summarisation , 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 ..."
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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 and Opinion Mining

by Bing Liu , 2012
"... ..."
Abstract - Cited by 170 (11 self) - Add to MetaCart
Abstract not found

Sentiment Analysis is

by K. Zhang Budt
"... expressed in text. ..."
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expressed in text.

Sentiment Analysis of Twitter Data

by Apoorv Agarwal, Boyi Xie, Ilia Vovsha, Owen Rambow, Rebecca Passonneau
"... 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 - Cited by 91 (4 self) - Add to MetaCart
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

by Ahmed Abbasi, Hsinchun Chen, Arab Salem - 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 - Cited by 99 (6 self) - Add to MetaCart
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

by Er Pak, Patrick Paroubek - 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 - Cited by 235 (2 self) - Add to MetaCart
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

by Bing Liu - 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 - Cited by 128 (9 self) - Add to MetaCart
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
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