TAILIEUCHUNG - Báo cáo khoa học: "Mining Co-Occurrence Matrices for SO-PMI Paradigm Word Candidates"

This paper is focused on one aspect of SOPMI, an unsupervised approach to sentiment vocabulary acquisition proposed by Turney (Turney and Littman, 2003). The method, originally applied and evaluated for English, is often used in bootstrapping sentiment lexicons for European languages where no such resources typically exist. In general, SO-PMI values are computed from word co-occurrence frequencies in the neighbourhoods of two small sets of paradigm words. The goal of this work is to investigate how lexeme selection affects the quality of obtained sentiment estimations. . | Mining Co-Occurrence Matrices for SO-PMI Paradigm Word Candidates Aleksander Wawer Institute of Computer Science Polish Academy of Science ul. Jana Kazimierza 5 01-248 Warszawa Poland axw@ Abstract This paper is focused on one aspect of SO-PMI an unsupervised approach to sentiment vocabulary acquisition proposed by Turney Turney and Littman 2003 . The method originally applied and evaluated for English is often used in bootstrapping sentiment lexicons for European languages where no such resources typically exist. In general SO-PMI values are computed from word co-occurrence frequencies in the neighbourhoods of two small sets of paradigm words. The goal of this work is to investigate how lexeme selection affects the quality of obtained sentiment estimations. This has been achieved by comparing ad hoc random lexeme selection with two alternative heuristics based on clustering and SVD decomposition of a word co-occurrence matrix demonstrating superiority of the latter methods. The work can be also interpreted as sensitivity analysis on SO-PMI with regard to paradigm word selection. The experiments were carried out for Polish. 1 Introduction This paper seeks to improve one of the main methods of unsupervised lexeme sentiment polarity assignment. The method introduced by Turney and Littman 2003 is described in more detail in Section 2. It relies on two sets of paradigm words positive and negative which determine the polarity of unseen words. The method is resource lean and therefore often used in languages other than English. Recent examples include Japanese Wang and Araki 2007 and German Remus et al. 2006 . Unfortunately the selection of paradigm words rarely receives sufficient attention and is typically done in an ad hoc manner. One notable example of manual paradigm word selection method was presented in Read and Carroll 2009 . In this context an interesting variation of the semantic orientation-pointwise mutual information SO-PMI algorithm for .

• Báo cáo khoa học
• Mining Co Occurrence Matrices
• SO PMI Paradigm Word Candidates
• Aleksander Wawer
• 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
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• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
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• ISSUES IN NATURAL LANGUAGE
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• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
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• 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
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• Mark H
• Bursteln