Identifying breakpoints in public opinion
Published 25 July 2010
Cüneyt Gürcan Akçora, Murat Ali Bayır, Murat Demirbaş, Hakan Ferhatosmanoğlu
Citations58
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
This work develops methods to detect changes in public opinion, and find events that cause these changes, and proposes using micro-blogging sites to capture trends in public public opinion.
Abstract
While polls are traditionally used for observing public opinion, they provide a point snapshot, not a continuum. We consider the problem of identifying breakpoints in public opinion, and propose using micro-blogging sites to capture trends in public opinion. We develop methods to detect changes in public opinion, and find events that cause these changes.
Keywords
Computer SciencePhysics and Astronomy
Communications of the ACMMapReduce
18,538 Citations2008Jay B. Dean, Sanjay Ghemawat
This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
now publishers, Inc. eBooksOpinion Mining and Sentiment Analysis
6,745 Citations2008Bo Pang, Lillian Lee
What is Twitter, a social network or a news media?
6,692 Citations2010Haewoon Kwak, Changhyun Lee +2 more
This work is the first quantitative study on the entire Twittersphere and information diffusion on it and finds a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks.
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.
Meeting of the Association for Computational LinguisticsThumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
3,654 Citations2002Peter Peter, Turney
Why we twitter
2,639 Citations2007Akshay Java, Xiaodan Song +2 more
It is found that people use microblogging to talk about their daily activities and to seek or share information and the user intentions associated at a community level are analyzed to show how users with similar intentions connect with each other.
Mining the peanut gallery
1,908 Citations2003Kushal Dave, Steve Lawrence +1 more
This work develops a method for automatically distinguishing between positive and negative reviews and draws on information retrieval techniques for feature extraction and scoring, and the results for various metrics and heuristics vary depending on the testing situation.
Extracting product features and opinions from reviews
1,720 Citations2005Ana-Maria Popescu, Oren Etzioni
Opine is introduced, an unsupervised information-extraction system which mines reviews in order to build a model of important product features, their evaluation by reviewers, and their relative quality across products.
Movie review mining and summarization
909 Citations2006Zhuang Li, Jing Feng +1 more
A multi-knowledge based approach is proposed, which integrates WordNet, statistical analysis and movie knowledge, and the experimental results show the effectiveness of the proposed approach in movie review mining and summarization.
Emotions in social psychology : essential readings
543 Citations2001W. Gerrod Parrott
Opinion Extraction, Summarization and Tracking in News and Blog Corpora.
477 Citations2006Lun‐Wei Ku, Yuting Liang +1 more
Both news and web blog articles are investigated and algorithms for opinion extraction at word, sentence and document level are proposed, and the issue of relevant sentence selection is discussed, and then topical and opinionated information are summarized.
Characterizing debate performance via aggregated twitter sentiment
473 Citations2010Nicholas Diakopoulos, David A. Shamma
An analytical methodology and visual representations are developed that could help a journalist or public affairs person better understand the temporal dynamics of sentiment in reaction to the debate video.
Context-aware query suggestion by mining click-through and session data
459 Citations2008Huanhuan Cao, Daxin Jiang +5 more
This paper proposes a novel context-aware query suggestion approach which is in two steps, and outperforms two baseline methods in both coverage and quality of suggestions.
Survey of Text Mining: Clustering, Classification, and Retrieval
408 Citations2007Michael W. Berry, Malú Castellanos
Survey of Text Mining II offers a broad selection in state-of-the art algorithms and software for text mining from both academic and industrial perspectives, to generate interest and insight into the state of the field.
Survey of Text Mining
315 Citations2004Michael W. Berry
OpinionMiner
267 Citations2009Wei Jin, Hung Hay Ho +1 more
The OpinionMiner system designed in this work aims to mine customer reviews of a product and extract high detailed product entities on which reviewers express their opinions.
Smart Miner
37 Citations2009Murat Ali Bayır, İsmail Hakkı Toroslu +2 more
This paper has modeled session construction as a new graph problem and utilized a new algorithm, Smart-SRA, to solve this problem efficiently and implemented distributed version of the Smart Miner framework by employing Map/Reduce Paradigm.