Results 241 to 250 of about 473,505 (288)
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Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology - CSTST '08, 2008
The growing popularity of Web 2.0 provides with increasing numbers of documents expressing opinions on different topics. Recently, new research approaches have been defined in order to automatically extract such opinions from the Internet. They usually consider opinions to be expressed through adjectives, and make extensive use of either general ...
Ali Harb +5 more
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The growing popularity of Web 2.0 provides with increasing numbers of documents expressing opinions on different topics. Recently, new research approaches have been defined in order to automatically extract such opinions from the Internet. They usually consider opinions to be expressed through adjectives, and make extensive use of either general ...
Ali Harb +5 more
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MILCOM 2012 - 2012 IEEE Military Communications Conference, 2012
Network operations that support tactical missions are often characterized by evolving information that needs to be delivered over bandwidth constrained communication networks and presented to a social/cognitive network with limited human attention span and high stress.
Mudhakar Srivatsa +2 more
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Network operations that support tactical missions are often characterized by evolving information that needs to be delivered over bandwidth constrained communication networks and presented to a social/cognitive network with limited human attention span and high stress.
Mudhakar Srivatsa +2 more
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Ensemble methods for opinion mining
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Opinion mining is an emerging field which uses computer science methods to extract subjective information, such as opinion, emotion, and attitude inherent in opinion holder's text. One of the major issues in opinion mining is to enhance the predictive performance of classification algorithm. Ensemble methods used for opinion mining aim to obtain robust
Onan, Aytug, Korukoglu, Serdar
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Sentiment analysis and opinion mining
2022Sentiment analysis is a set of statistical text mining procedures aimed at identifying and measuring opinions, beliefs, or personal judgments which are not based on rational reasoning, but on subjective emotions. The development and success of sentiment analysis is due to its application in almost every business and social domain since many human ...
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Computación y Sistemas, 2019
We present an opinion mining approach whose aim is to perform sentiment classification over microblogs in Spanish; since we use the Twitter microblog as a case study, this approach receives the name of Twitter Opinion Mining or TOM. To classify acomment as positive, negative, or neutral, TOM uses a term-counting strategy that sums the individual ...
Fernando Manuel Rodríguez +1 more
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We present an opinion mining approach whose aim is to perform sentiment classification over microblogs in Spanish; since we use the Twitter microblog as a case study, this approach receives the name of Twitter Opinion Mining or TOM. To classify acomment as positive, negative, or neutral, TOM uses a term-counting strategy that sums the individual ...
Fernando Manuel Rodríguez +1 more
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Computer, 2009
Emerging opinion-mining technology makes it possible to aggregate and financially leverage the opinions of vast numbers of people.
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Emerging opinion-mining technology makes it possible to aggregate and financially leverage the opinions of vast numbers of people.
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Introduction to Opinion Mining
2020The prime component that can enhance the quality of services is the opinion of the users. Factual information and opinion information are two categories of textual information [1]. Facts are sentences which are true and can be verified, whereas opinions are sentences which hold an element of belief and cannot be verified for their truth.
Surbhi Bhatia +2 more
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Opinion Mining Classification Based on Extension of Opinion Mining Phrases
2016Opinion mining is the field of study that analyses people’s thoughts, sentiments, emotions and attitude towards entities, product, services, issues, topics, events and their attributes. There are many different tasks such as opinion extraction, sentiment mining, emotional analysis, review mining etc.
Shivam Rathi +2 more
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Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better
Severyn, Aliaksei +4 more
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This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better
Severyn, Aliaksei +4 more
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2020
Researchers found that the opinions of people are scattered on various review sites and social networking sites, so instead of traversing the different web sites for the reviews with their polarity education of sentences, a complete dynamic IR system should be developed that gives ranked opinions on the basis of features in summarized form to the users
Surbhi Bhatia +2 more
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Researchers found that the opinions of people are scattered on various review sites and social networking sites, so instead of traversing the different web sites for the reviews with their polarity education of sentences, a complete dynamic IR system should be developed that gives ranked opinions on the basis of features in summarized form to the users
Surbhi Bhatia +2 more
openaire +1 more source