DECO-MWE: building a linguistic resource of Korean multiword expressions for feature-based sentiment analysis

TL;DR

This paper presents DECO-MWE, a linguistic resource of Korean multiword expressions for sentiment analysis, built using finite-state transducers and tested on cosmetics reviews, achieving high retrieval performance.

Contribution

It introduces a finite-state methodology for constructing a Korean MWE lexicon tailored for feature-based sentiment analysis, covering various MWE categories.

Findings

Achieved 0.806 f-measure in MWE retrieval on test corpus.

Constructed a sizeable polarity MWE lexicon for FBSA.

Demonstrated the effectiveness of finite-state transducers in modeling MWEs.

Abstract

This paper aims to construct a linguistic resource of Korean Multiword Expressions for Feature-Based Sentiment Analysis (FBSA): DECO-MWE. Dealing with multiword expressions (MWEs) has been a critical issue in FBSA since many constructs reveal lexical idiosyncrasy. To construct linguistic resources of sentiment MWEs efficiently, we utilize the Local Grammar Graph (LGG) methodology: DECO-MWE is formalized as a Finite-State Transducer that represents lexical-syntactic restrictions on MWEs. In this study, we built a corpus of cosmetics review texts, which show particularly frequent occurrences of MWEs. Based on an empirical examination of the corpus, four types of MWEs have been distinguished. The DECO-MWE thus covers the following four categories: Standard Polarity MWEs (SMWEs), Domain-Dependent Polarity MWEs (DMWEs), Compound Named Entity MWEs (EMWEs) and Compound Feature MWEs (FMWEs). The retrieval performance of the DECO-MWE shows 0.806 f-measure in the test corpus. This study brings a twofold outcome: first, a sizeable general-purpose polarity MWE lexicon, which may be broadly used in FBSA; second, a finite-state methodology adopted in this study to treat domain-dependent MWEs such as idiosyncratic polarity expressions, named entity expressions or feature expressions, and which may be reused in describing linguistic properties of other corpus domains.