TAILIEUCHUNG - Báo cáo khoa học: "Generating a Non-English Subjectivity Lexicon: Relations That Matter"

We describe a method for creating a nonEnglish subjectivity lexicon based on an English lexicon, an online translation service and a general purpose thesaurus: Wordnet. We use a PageRank-like algorithm to bootstrap from the translation of the English lexicon and rank the words in the thesaurus by polarity using the network of lexical relations in Wordnet. We apply our method to the Dutch language. The best results are achieved when using synonymy and antonymy relations only, and ranking positive and negative words simultaneously. Our method achieves an accuracy of at the top 3,000 negative words, and at. | Generating a Non-English Subjectivity Lexicon Relations That Matter Valentin Jijkoun and Katja Hofmann ISLA University of Amsterdam Amsterdam The Netherlands jijkoun @ Abstract We describe a method for creating a nonEnglish subjectivity lexicon based on an English lexicon an online translation service and a general purpose thesaurus Wordnet. We use a PageRank-like algorithm to bootstrap from the translation of the English lexicon and rank the words in the thesaurus by polarity using the network of lexical relations in Wordnet. We apply our method to the Dutch language. The best results are achieved when using synonymy and antonymy relations only and ranking positive and negative words simultaneously. Our method achieves an accuracy of at the top 3 000 negative words and at the top 3 000 positive words. 1 Introduction One of the key tasks in subjectivity analysis is the automatic detection of subjective as opposed to objective factual statements in written documents Mihalcea and Liu 2006 . This task is essential for applications such as online marketing research where companies want to know what customers say about the companies their products specific products features and whether comments made are positive or negative. Another application is in political research where public opinion could be assessed by analyzing usergenerated online data blogs discussion forums etc. . Most current methods for subjectivity identification rely on subjectivity lexicons which list words that are usually associated with positive or negative sentiments or opinions . words with polarity . Such a lexicon can be used . to classify individual sentences or phrases as subjective or not and as bearing positive or negative sentiments Pang et al. 2002 Kim and Hovy 2004 Wilson et al. 2005a . For English manually created subjectivity lexicons have been available for a while but for many other languages such resources are still missing. We describe a .

• Báo cáo khoa học
• Generating a Non English
• Subjectivity Lexicon
• Relations That Matter
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln