Results 1 - 10 of 2,186

Mining Opinion Features in Customer Reviews

by Minqing Hu, Bing Liu - In Proceedings of Nineteeth National Conference on Artificial Intellgience (AAAI , 2004
"... It is a common practice that merchants selling products on the Web ask their customers to review the products and associated services. As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. For a popular product, the number of reviews c ..."
Abstract - Cited by 192 (3 self) - Add to MetaCart
are only interested in the specific features of the product that customers have opinions on and also whether the opinions are positive or negative. We do not summarize the reviews by selecting or rewriting a subset of the original sentences from the reviews to capture their main points as in the classic

Mining Opinion Features in Customer Reviews

by unknown authors
"... It is a common practice that merchants selling products on the Web ask their customers to review the products and associated services. As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. For a popular product, the number of reviews c ..."
Abstract - Add to MetaCart
are only interested in the specific features of the product that customers have opinions on and also whether the opinions are positive or negative. We do not summarize the reviews by selecting or rewriting a subset of the original sentences from the reviews to capture their main points as in the classic

9 Opinion Feature Extraction via Domain Relevance

by Vaishnavi S. Baste
"... Rich web resources such as discussion forum, review sites, blogs and news corpus available in digital form, tends the current research to focus on the area of sentiment analysis. Researchers are intended to develop a system that can identify and classify opinion or sentiment as represented in an ele ..."
Abstract - Add to MetaCart
in an electronic text. Accurate prediction methods can enable us, to extract opinions from the internet and make predictable decisions which will help economic or marketing research. The majority of existing mining approaches for opinion feature extraction depend on a single review corpus, ignoring word

Extracting product features and opinions from reviews

by Ana-maria Popescu, Oren Etzioni , 2005
"... Consumers are often forced to wade through many on-line reviews in order to make an informed product choice. This paper introduces OPINE, an unsupervised informationextraction system which mines reviews in order to build a model of important product features, their evaluation by reviewers, and their ..."
Abstract - Cited by 401 (4 self) - Add to MetaCart
Consumers are often forced to wade through many on-line reviews in order to make an informed product choice. This paper introduces OPINE, an unsupervised informationextraction system which mines reviews in order to build a model of important product features, their evaluation by reviewers

Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews

by Kushal Dave, Steve Lawrence, David M. Pennock , 2003
"... The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor, mixe ..."
Abstract - Cited by 453 (0 self) - Add to MetaCart
The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor

Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,

by ] Richard Hackman , Grec R Oldham , 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
Abstract - Cited by 622 (2 self) - Add to MetaCart
in seven organizations, and results support its validity. A number of special features of the model are discussed (including its use as a basis for the diagnosis of jobs and the evaluation of job redesign projects), and the model is compared to other theories of job design. Work redesign is becoming

OPINION FEATURES EXATCTION USING INTRINSIC AND EXTRINSIC DOMAIN RELEVANCE

by Patil Bharati R, Dhaygude Tejashri M, Prof Amrit Priyadarshi
"... An Sentiment analysis, also called opinion mining, is the field of study that analyzes people’s opinions, sentiments, attitudes and emotions towards entities such as products, services, organizations, and their attributes. Mining of opinions from customer reviews is received tremendous attention fro ..."
Abstract - Add to MetaCart
from both domain dependent document and domain independent document as it decides the overall rating of any product.. Opinion identification is not big problem if we use a single review corpus, but it will give poor results.. In this current paper we propose Novel technique for mining opinion features

Opinion observer: analyzing and comparing opinions on the web

by Bing Liu, Minqing Hu, Junsheng Cheng - In WWW2005: the 4th international conference on World Wide Web, 2005
"... The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes two contributions. First, i ..."
Abstract - Cited by 277 (12 self) - Add to MetaCart
in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a potential customer, he/she can see a visual side-by-side and feature-by-feature comparison of consumer opinions on these products, which helps him/her to decide

Supporting Trust in Virtual Communities

by Alfarez Abdul-Rahman , Stephen Hailes , 2000
"... At any given time, the stability of a community depends on the right balance of trust and distrust. Furthermore, we face information overload, increased uncertainty and risk taking as a prominent feature of modern living. As members of society, we cope with these complexities and uncertainties by re ..."
Abstract - Cited by 402 (8 self) - Add to MetaCart
At any given time, the stability of a community depends on the right balance of trust and distrust. Furthermore, we face information overload, increased uncertainty and risk taking as a prominent feature of modern living. As members of society, we cope with these complexities and uncertainties

A Holistic Lexicon-Based Approach to Opinion Mining

by Xiaowen Ding, Bing Liu, Philip S. Yu , 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 ..."
Abstract - Cited by 186 (11 self) - Add to MetaCart
orientations (positive, negative or neutral) of opinions expressed on product features in reviews. This problem has many applications, e.g., opinion mining, summarization and search. Most existing techniques utilize a list of opinion (bearing) words (also called opinion lexicon) for the purpose. Opinion words
Results 1 - 10 of 2,186