Using Very Simple Statistics for Review Search: An Exploration
Published 1 August 2008
Bo Pang, Lillian Lee
Citations73
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 reports on work in progress on using very simple statistics in an unsupervised fashion to re-rank search engine results when review-oriented queries are issued, and finds that the proposed technique performs comparably to methods that rely on sophisticated pre-encoded linguistic knowledge.
Abstract
We report on work in progress on using very simple statistics in an unsupervised fashion to re-rank search engine results when review-oriented queries are issued; the goal is to bring opinionated or subjective results to the top of the results list. We find that our proposed technique performs comparably to methods that rely on sophisticated pre-encoded linguistic knowledge, and that both substantially improve the initial results produced by the Yahoo! search engine. 1
Keywords
Computer Science
now publishers, Inc. eBooksOpinion Mining and Sentiment Analysis
6,745 Citations2008Bo Pang, Lillian Lee
Accurately interpreting clickthrough data as implicit feedback
1,383 Citations2005Thorsten Joachims, Laura Granka +3 more
It is concluded that clicks are informative but biased, and while this makes the interpretation of clicks as absolute relevance judgments difficult, it is shown that relative preferences derived from clicks are reasonably accurate on average.
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.
Computational LinguisticsLearning Subjective Language
743 Citations2004Janyce Wiebe, Theresa Wilson +3 more
This article shows that the density of subjectivity clues in the surrounding context strongly affects how likely it is that a word is subjective, and it provides the results of an annotation study assessing the subjectivity of sentences with high-density features.
Effects of adjective orientation and gradability on sentence subjectivity
671 Citations2000Vasileios Hatzivassiloglou, Janyce Wiebe
A novel trainable method that statistically combines two indicators of gradability is presented and evaluated, complementing existing automatic techniques for assigning orientation labels.
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.
The Knowledge Engineering ReviewA survey on the use of relevance feedback for information access systems
403 Citations2003Ian Ruthven, Mounia Lalmas
This paper surveys relevance feedback techniques and studies both automatic techniques, in which the system modifies the user's query, and interactive techniques, which the user has control over query modification.
Overview of the TREC 2006 Blog Track
237 Citations2006Iadh Ounis, Craig Macdonald +1 more
The Blog track began this year, with the aim to explore the information seeking behaviour in the blogosphere, and a new large-scale test collection, namely the TREC Blog06 collection, has been created.
Lecture notes in computer scienceA Study of Blog Search
148 Citations2006Gilad Mishne, Maarten de Rijke
An analysis of a large blog search engine query log shows that blog searches have different intents than general web searches, suggesting that the primary targets of blog searchers are tracking references to named entities, and locating blogs by theme.
Text REtrieval ConferenceINQUERY and TREC-9.
89 Citations2000James Allan, Margaret E. Connell +4 more
This year the Center for Intelligent Information Retrieval at the University of Massachusetts participated in three of the tracks: the cross-language, question answering, and query tracks, and showed how query expansion compensates for some of the problems that can occurs in query formulation.
Proceedings of the International AAAI Conference on Web and Social MediaOn the TREC Blog Track
43 Citations2021Iadh Ounis, Craig Macdonald +1 more
TheBlog track was introduced in 2006 as part of the renowned Text REtrieval Conference (TREC) evaluation forum to drive research on the blogosphere and to facilitate experimentation and evaluation of blog search techniques.