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Mining the peanut gallery

Kushal Dave, Steve Lawrence, David M. Pennock
2003 Proceedings of the twelfth international conference on World Wide Web - WWW '03  
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  ...  The web contains a wealth of product reviews, but sifting through them is a daunting task.  ...  Finally, there is much relevant work in the general area of information extraction and pattern-finding for classification.  ... 
doi:10.1145/775224.775226 fatcat:ez3gxpaalreubajdm6iyvesfym

Mining the peanut gallery

Kushal Dave, Steve Lawrence, David M. Pennock
2003 Proceedings of the twelfth international conference on World Wide Web - WWW '03  
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  ...  The web contains a wealth of product reviews, but sifting through them is a daunting task.  ...  Finally, there is much relevant work in the general area of information extraction and pattern-finding for classification.  ... 
doi:10.1145/775152.775226 dblp:conf/www/DaveLP03 fatcat:xvzlt6eadnbpjgewhc7sikq5na

Opinion mining of customer feedback data on the web

Dongjoo Lee, Ok-Ran Jeong, Sang-goo Lee
2008 Proceedings of the 2nd international conference on Ubiquitous information management and communication - ICUIMC '08  
As people leave on the Web their opinions on products and services they have used, it has become important to develop methods of (semi-)automatically classifying and gauging them.  ...  On the basis of our survey and analysis of the techniques, we provide an overall picture of what is involved in developing a software system for opinion mining.  ...  Mining the peanut gallery: opinion extraction and semantic classification of product reviews.  ... 
doi:10.1145/1352793.1352842 dblp:conf/icuimc/LeeJL08 fatcat:ueqhofhavvb5tlza6goo2le54q

The evolution of sentiment analysis—A review of research topics, venues, and top cited papers

Mika V. Mäntylä, Daniel Graziotin, Miikka Kuutila
2018 Computer Science Review  
We present a computer-assisted literature review, where we utilize both text mining and qualitative coding, and analyze 6,996 papers from Scopus.  ...  Many topics beyond product reviews like stock markets, elections, disasters, medicine, software engineering and cyberbullying extend the utilization of sentiment analysis  ...  Another influential paper from 2003 was titled "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews" [3] that was published in the WWW conference.  ... 
doi:10.1016/j.cosrev.2017.10.002 fatcat:li6lrwzo2ncvraj6ydarg6j4uy

Une utilisation du consommateur internaute au-delà des communautés de marque : le travail effectif des consommateurs ordinaires sur les réseaux sociaux

Alessandro Caliandro
2011 Sciences de la Société  
Dave (K.), Lawrence(S.), Pennock(M.), 2003, « Mining the peanut gallery : Opinion extraction and semantic classification of product reviews », Proceedings of the Twelfth International World Wide Web Conference  ...  .), 2008, Opinion Mining and Sentiment Analysis , Now Publisher, Boston. Rogers(R.), 2009, The End of the Virtual , VossiuspersUvA, Amsterdam University Press, Amsterdam.  ... 
doi:10.4000/sds.2082 fatcat:m35wt3msvzhqrcjxnraswjr77e

Opinion mining: reviewed from word to document level

Malik Muhammad Saad Missen, Mohand Boughanem, Guillaume Cabanac
2012 Social Network Analysis and Mining  
Following features of our review make it stand unique among the works of similar kind: (1) it presents a very different perspective of the opinion mining field by discussing the work on different granularity  ...  levels (like word, sentences, and document levels) which is very unique and much required, (2) discussion of the related work in terms of challenges of the field of opinion mining, (3) document level  ...  review data set (1,400 reviews) Using appraisal taxonomies for sentiment analysis (Whitelaw et al. 2005 ) Mining the peanut gallery: opinion extraction and semantic classification of product reviews  ... 
doi:10.1007/s13278-012-0057-9 fatcat:c3hoqyql5bculfzv42pesm2obu

Extraction and Analyze Text in Twitter using Naive Bayes Technique

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The purpose of all of this is to know the pros and cons about a product or anything else and correct the negatives in future that are found.  ...  We collected a lot of different opinions using API and then transferred them to an information bank.  ...  P," Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews", NEC Laboratories America, Princeton, New Jersey, 2003. 4.  ... 
doi:10.35940/ijitee.d1568.029420 fatcat:jbnnaux5dza5lakfhtrqlbtuzy

Analysis of Human Behavior by Mining Textual Data: Current Research Topics and Analytical Techniques

Edgar Gutierrez, Waldemar Karwowski, Krzysztof Fiok, Mohammad Reza Davahli, Tameika Liciaga, Tareq Ahram
2021 Symmetry  
The goal of this study was to conduct a literature review of current approaches and techniques for identifying, understanding, and predicting human behaviors through mining a variety of sources of textual  ...  data with a focus on enabling classification of psychological behaviors regarding emotion, cognition, and social empathy.  ...  [47] Opinion Mining platform for Intelligence in business Natural language processing Social [48] Mining the peanut gallery: opinion extraction and semantic classification of product reviews Information  ... 
doi:10.3390/sym13071276 fatcat:hi5x22zfjfav3oorqm77rtaaaq

Predicting a Business Star in Yelp from Its Reviews Text Alone [article]

Mingming Fan, Maryam Khademi
2014 arXiv   pre-print
But due to overwhelming number of reviews, it is almost impossible for users to go through all reviews and find the information they are looking for.  ...  Our approach is to create bag of words from the top frequent words in all raw text reviews, or top frequent words/adjectives from results of Part-of-Speech analysis.  ...  Pennock, “Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews,” in Proceedings of the 12th international conference on World Wide Web 2003,  ... 
arXiv:1401.0864v1 fatcat:glw5sjnf6rdhrnujlz7nboqgvy

Machine Learning for Cyber Security using Big Data Analytics

R. Vijaya Lakshmi
2019 Zenodo  
Big data analytics in security involves the ability to gather massive amounts of digital information to analyze, picture and draw insights that can make it possible to predict and stop cyber attacks.  ...  ., copying human behavior) but it can also reduce the efforts and/or time spent for both simple and difficult tasks like stock price prediction.  ...  Opinion Extraction and Semantic Classification of Product Reviews‖, in Proceedings of the 12th International Conference on World Wide Web, ACM, pp-519- 528, 2003. XI.  ... 
doi:10.5281/zenodo.3362228 fatcat:ehzzbba5l5gbjaeuj7evqymxgq

A Study on the Effect of Using Sentiment Lexicon in Opinion Classification
오피니언 분류의 감성사전 활용효과에 대한 연구

Seungwoo Kim, Namgyu Kim
2014 Journal of Intelligence and Information Systems  
Pennock, "Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews," Proceedings of International Conference on World Wide Web, (2003), 519-528.  ...  However, this research contributes a performance and comparison of text mining analysis and opinion mining analysis for opinion classification.  ... 
doi:10.13088/jiis.2014.20.1.133 fatcat:buxn7n5zonc43hihxwx7xjwhze

Predicting Emotion Labels for Chinese Microblog Texts [chapter]

Zheng Yuan, Matthew Purver
2015 Studies in Computational Intelligence  
We would also like to thank the reviewers for their useful comments and suggestions on the paper.  ...  , from the BriLeMa Artificial Intelligence Studies, for the advice and support on using meta-classifiers.  ...  Kushal Dave, Steve Lawrence, and David M. Pennock: the peanut gallery: Opinion ex- traction and semantic classification of product reviews.  ... 
doi:10.1007/978-3-319-18458-6_7 fatcat:orzv7zzxhnewrgrilynvmj27wm

Sentiment analysis. An example of application and evaluation of RID dictionary and Bayesian classification methods in qualitative data analysis approach

Krzysztof Tomanek
2014 Przeglad Socjologii Jakosciowej  
The first analysis makes use of thematic vocabulary tool (sentiment analysis). The second technique uses the idea of Bayesian classification and applies, so-called, naive Bayes algorithm.  ...  These results reinforce the conclusion that a dictionary which has received good evaluation as a tool for classification should be subjected to review and modification procedures if is to be applied to  ...  Dave Kushal, Lawrence Steve, Pennock David M. (2003) Mining the peanut gallery: Opinion extraction and semantic classifi-cation of product reviews [w:] Proceedings of WWW, s. 519-528, [dostęp 1 maja 2014  ... 
doaj:f4c721d5044f4107980695b1a606f75a fatcat:pxwch3girrgcje6f4fusnov3qu

Leveraging web resources for keyword assignment to short text documents [article]

Ayush Singhal, Ravindra Kasturi, Ankit Sharma, Jaideep Srivastava
2017 arXiv   pre-print
However, the approaches developed in the literature for full text documents cannot be used to assign keywords to low text content documents like twitter feeds, news clips, product reviews or even short  ...  For text documents, the keyword assignment techniques have been developed under two sub-topics: automatic keyword extraction (AKE) and automatic key-phrase abstraction.  ...  recognition,neural network Retrieval Mining the peanut gallery: linguistics,supervised learning,book review, Opinion mining, opinion extraction and unsupervised learning,review,parsing, document  ... 
arXiv:1706.05985v1 fatcat:mnfxumshgbgcxkg6nwwhjo4gjy

Seminar Users in the Arabic Twitter Sphere [article]

Kareem Darwish, Dimitar Alexandrov, Preslav Nakov, Yelena Mejova
2017 arXiv   pre-print
parts of the world and in other languages.  ...  In our case study, we found that 25% of the users engaged in the topic are in fact seminar users and their tweets make nearly a third of the on-topic tweets.  ...  .: Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In: Proceedings of the th International World Wide Web conference. pp. -.  ... 
arXiv:1707.07276v1 fatcat:kj7t6bjfurh43akssglhs735cq
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