I want what i need!
Published 29 October 2012Open access
Prakhar Biyani, Cornelia Caragea, Amit Singh, Prasenjit Mitra
Citations23
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Knowing subjectivity orientation of threads would help forum search engines to satisfy user's information needs more effectively by matching the subjectivities of user's query and topics discussed in the threads in addition to lexical match between the two.
Abstract
Paper discussing thread specific features for identifying subjectivity orientation of online forum threads.
Keywords
Computer SciencePhysics and Astronomy
ACM SIGKDD Explorations NewsletterThe WEKA data mining software
17,849 Citations2009Mark Hall, Eibe Frank +4 more
This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003.
Mining and summarizing customer reviews
7,714 Citations2004Minqing Hu, Bing Liu
This research aims to mine and to summarize all the customer reviews of a product, and proposes several novel techniques to perform these tasks.
now publishers, Inc. eBooksOpinion Mining and Sentiment Analysis
6,745 Citations2008Bo Pang, Lillian Lee
Foundations and Trends® in Information RetrievalOpinion Mining and Sentiment Analysis
6,204 Citations2008Bo Pang, Lillian Lee
This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems and focuses on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis.
A comparison of event models for naive bayes text classification
3,224 Citations1998Andrew McCallum, Kamal Nigam
It is found that the multi-variate Bernoulli performs well with small vocabulary sizes, but that the multinomial performs usually performs even better at larger vocabulary sizes--providing on average a 27% reduction in error over the multi -variateBernoulli model at any vocabulary size.
Computers and the HumanitiesAnnotating Expressions of Opinions and Emotions in Language
1,770 Citations2005Janyce Wiebe, Theresa Wilson +1 more
The manual annotation process and the results of an inter-annotator agreement study on a 10,000-sentence corpus of articles drawn from the world press are presented.
Sentiment Analysis and Subjectivity
1,594 Citations2010Liu Bing
An intraocular lens for implantation in an eye comprising an optic configured so that the optic can be deformed to permit the intraocular Lens to be passed through an incision into the eye is provided.
Journal of the American Society for Information Science and TechnologySentiment strength detection for the social web
1,063 Citations2011Mike Thelwall, Kevan Buckley +1 more
An improved version of the algorithm SentiStrength for sentiment strength detection across the social web that primarily uses direct indications of sentiment is assessed, suggesting that, even unsupervised, Senti strength is robust enough to be applied to a wide variety of different social web contexts.
Towards answering opinion questions
1,051 Citations2003Hong Yu, Vasileios Hatzivassiloglou
A Bayesian classifier for discriminating between documents with a preponderance of opinions such as editorials from regular news stories is presented, and three unsupervised, statistical techniques for the significantly harder task of detecting opinions at the sentence level are described.
Learning extraction patterns for subjective expressions
1,001 Citations2003Ellen Riloff, Janyce Wiebe
A bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions while maintaining high precision is presented.
Lecture notes in computer scienceCreating Subjective and Objective Sentence Classifiers from Unannotated Texts
543 Citations2005Janyce Wiebe, Ellen Riloff
The results of developing subjectivity classifiers using only unannotated texts for training rivals that of previous supervised learning approaches and advances the state of the art in objective sentence classification.
Development and use of a gold-standard data set for subjectivity classifications
498 Citations1999Janyce Wiebe, Rebecca Bruce +1 more
Bias-corrected tags are formulated and successfully used to guide a revision of the coding manual and develop an automatic classifier.
Learning Multilingual Subjective Language via Cross-Lingual Projections
399 Citations2007Rada Mihalcea, Carmen Banea +1 more
This paper discusses learning multilingual subjective language via cross-lingual projections with a focus on English as a second language.
Multilingual subjectivity analysis using machine translation
287 Citations2008Carmen Banea, Rada Mihalcea +2 more
Through comparative evaluations on two different languages, it is shown that automatic translation is a viable alternative for the construction of resources and tools for subjectivity analysis in a new target language.
Natural Language EngineeringRecognizing subjectivity: a case study in manual tagging
174 Citations1999Rebecca Bruce, Janyce Wiebe
A case study of a sentence-level categorization in which tagging instructions are developed and used by four judges to classify clauses from the Wall Street Journal as either subjective or objective.
Multi-perspective question answering using the OpQA corpus
135 Citations2005Veselin Stoyanov, Claire Cardie +1 more
It is argued that traditional fact-based QA approaches may have difficulty in an MPQA setting without modification, and the use of machine learning and rule-based subjectivity and opinion source filters are investigated and shown that they can be used to guideMPQA systems.
Multilingual Subjectivity: Are More Languages Better?
134 Citations2010Carmen Banea, Rada Mihalcea +1 more
This paper explores the integration of features originating from multiple languages into a machine learning approach to subjectivity analysis, and aims to show that this enriched feature set provides for more effective modeling for the source as well as the target languages.
What's with the Attitude? Identifying Sentences with Attitude in Online Discussions
114 Citations2010Ahmed H. Yousef, Vahed Qazvinian +1 more
This work presents a method to identify the attitude of participants in an online discussion toward one another to build a signed network representation of participant interaction where every edge has a sign that indicates whether the interaction is positive or negative.
From words to senses
88 Citations2008Fangzhong Su, Katja Markert
It is shown that results achieve with existing resources that are not tailored towards word sense subjectivity classification can rival results achieved with supervision on a manually annotated training set.
Semi-supervised speech act recognition in emails and forums
78 Citations2009Minwoo Jeong, Chin-Yew Lin +1 more
This method leverages labeled data in the Switchboard-DAMSL and the Meeting Recorder Dialog Act database and applies simple domain adaptation techniques over a large amount of unlabeled email and forum data to address the major challenge of this task.
QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering in On-line Discussions and the News
66 Citations2007Swapna Somasundaran, Theresa Wilson +2 more
This paper presents a set of attitude types developed with an eye toward QA and shows that they can be reliably annotated, and develops automatic classifiers for recognizing two main types of attitudes: sentiment and arguing.
Online community search using thread structure
65 Citations2009Jangwon Seo, W. Bruce Croft +1 more
This work investigates retrieval techniques that exploit the hierarchical thread structures in community sites and shows that using thread structures that have been accurately annotated can lead to significant improvements in retrieval performance compared to strong baselines.
Proceedings of the AAAI Conference on Artificial IntelligenceIdentifying Evaluative Sentences in Online Discussions
59 Citations2011Zhongwu Zhai, Bing Liu +3 more
A novel unsupervised approach is proposed to solve the problem of identifying evaluative opinion sentences in online discussions and comments, and the experimental results show that it performs well.
Exploring question subjectivity prediction in community QA
57 Citations2008Baoli Li, Yandong Liu +3 more
This paper investigates how to automatically determine the subjectivity orientation of questions posted by real users in community question answering (CQA) portals, and shows that the method exhibits promising performance.
Unsupervised Modeling of Dialog Acts in Asynchronous Conversations
50 Citations2012Shafiq Joty, Chin-Yew Lin
A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
49 Citations2010Smruthi Mukund, Rohini K. Srihari
A cotraining approach for subjectivity analysis in the Urdu language that augments the positive set and generates a negative set devoid of all samples close to the positive ones, which works remarkably well as a sentence level subjectivity classifier.
Product review summarization from a deeper perspective
48 Citations2011Duy Khang Ly, Kazunari Sugiyama +2 more
A system that automatically summarizes a large collection of product reviews to generate a concise summary is built, which not only extracts the review sentiments but also the underlying justification for their opinion.
<i>CoCQA</i>
47 Citations2008Baoli Li, Yandong Liu +1 more
This paper presents CoCQA, a co-training system that exploits the association between the questions and contributed answers for question analysis tasks, and allows CoCZA to use the effectively unlimited amounts of unlabeled data readily available in CQA archives.
Proceedings of the AAAI Conference on Artificial IntelligenceAdopting Inference Networks for Online Thread Retrieval
41 Citations2010Sumit Bhatia, Prasenjit Mitra
This paper proposes a model for online thread retrieval based on inference networks that utilizes the structural properties of forum threads and empirically shows the effectiveness of the proposed model using real-world data.
International Workshop on the Web and DatabasesClassifying User Messages For Managing Web Forum Data.
35 Citations2012Sumit Bhatia, Prakhar Biyani +1 more
This paper studies the problem of classifying a given post as per its purpose in the discussion thread and employs features based on the post's content, structure of the thread, behavior of the participating users and sentiment analysis of post’s content.
Lecture notes in computer scienceExploiting Thread Structures to Improve Smoothing of Language Models for Forum Post Retrieval
31 Citations2011Huizhong Duan, ChengXiang Zhai
The experiment results show that the proposed methods for leveraging forum threads to improve estimation of document language models are effective, and they outperform the existing smoothing methods for the forum post retrieval task.
IPSJ Online TransactionsCommunity QA Question Classification: Is the Asker Looking for Subjective Answers or Not?
28 Citations2011Naoyoshi Aikawa, Tetsuya Sakai +1 more
This work defines two question types based on whether the questioner expects subjective or objective answers, and reports on an automatic question classification experiment that achieves over 80% weighted accuracy using uni-gram and bi-gram features learned by Naive Bayes with smoothing.
Frontiers in artificial intelligence and applicationsEducational Question Answering based on Social Media Content
16 Citations2009Iryna Gurevych, Delphine Bernhard +2 more
An inter-annotator agreement study on subjective question classification in the Yahoo!Answers social Q&A site is conducted and a simple, but effective approach to automatically identify subjective questions is proposed.