A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
Published 1 May 2008Open access
Carmen Banea, Rada Mihalcea, Janyce Wiebe
Citations136
SJR quartileQ1
SJR score0.48
SNIP1.79
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 paper introduces a method for creating a subjectivity lexicon for languages with scarce resources by using a small seed set of subjective words, an online dictionary, and a small raw corpus coupled with a bootstrapping process that ranks new candidate words based on a similarity measure.
Abstract
This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.
Keywords
Computer Science
Meeting of the Association for Computational LinguisticsThumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
3,654 Citations2002Peter Peter, Turney
Recognizing contextual polarity in phrase-level sentiment analysis
3,379 Citations2005Theresa Wilson, Janyce Wiebe +1 more
A new approach to phrase-level sentiment analysis is presented that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions.
SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
2,489 Citations2006Andrea Esuli, Fabrizio Sebastiani
SENTIWORDNET is a lexical resource in which each WORDNET synset is associated to three numerical scores Obj, Pos and Neg, describing how objective, positive, and negative the terms contained in the synset are.
Lecture notes in computer scienceMining the Web for Synonyms: PMI-IR versus LSA on TOEFL
1,298 Citations2001Peter D. Turney
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.
A semantic concordance
616 Citations1993George A. Miller, Claudia Leacock +2 more
A semantic concordance is a textual corpus and a lexicon so combined that every substantive word in the text is linked to its appropriate sense in the lexicon.
Using latent semantic analysis to improve access to textual information
607 Citations1988Susan Dumais, George W. Furnas +3 more
Initial tests find this completely automatic method widely applicable and a promising way to improve users' access to many kinds of textual materials, or to objects and services for which textual descriptions are available.
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.
Learning Subjective Adjectives from Corpora
520 Citations2000Janyce Wiebe
This paper identifies strong clues of subjectivity using the results of a method for clustering words according to distributional similarity (Lin 1998), seeded by a small amount of detailed manual annotation.
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.
Mining WordNet for a Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses
318 Citations2006Alina Andreevskaia, Sabine Bergler
Net Overlap Score can be used as a measure of the words degree of membership in the fuzzy category of sentiment: the core adjectives were identified most accurately both by STEP and by human annotators, while the words on the periphery of the category had the lowest scores and were associated with low rates of inter-annotator agreement.
Conference of the European Chapter of the Association for Computational LinguisticsDetermining Term Subjectivity and Term Orientation for Opinion Mining
306 Citations2006Andrea Esuli, Fabrizio Sebastiani
The task of deciding whether a given term has a positive connotations, or a negative connotation, or has no subjective connotation at all is confronted, and it is shown that determining subjectivity and orientation is a much harder problem than determining orientation alone.
Identifying and analyzing judgment opinions
228 Citations2006Soo-Min Kim, Eduard Hovy
This paper decomposes the task of opinion analysis into four parts: recognizing the opinion; identifying the valence; 3) identifying the holder; and 4) identifies the topic.
Latent Variable Models for Semantic Orientations of Phrases
95 Citations2006Hiroya Takamura, Takashi Inui +1 more
Mining the web to create minority language corpora
69 Citations2001Rayid Ghani, Rosie Jones +1 more