Mining Fine-grained Opinion Expressions with Shallow Parsing

Aspect-Based Sentiment Analysis as Fine-Grained Opinion Mining

We show how the general fine-grained opinion mining concepts of opinion target and opinion expression are related to aspect-based sentiment analysis (ABSA) and discuss their benefits for resource creation over popular AB…

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents

Fine-grained opinion mining (OM) has achieved increasing attraction in the natural language processing (NLP) community, which aims to find the opinion structures of {``}Who expressed what opinions towards what{''} in one…

Fine-grained semantic categorization of opinion expressions for consensus detection (Cat\'egorisation s\'emantique fine des expressions d'opinion pour la d\'etection de consensus) [in French]

Opinion Mining Using Pre-Trained Large Language Models: Identifying the Type, Polarity, Intensity, Expression, and Source of Private States

Opinion mining is an important task in natural language processing. The MPQA Opinion Corpus is a fine-grained and comprehensive dataset of private states (i.e., the condition of a source who has an attitude which may be …

Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction

Opinion entity extraction is a fundamental task in fine-grained opinion mining. Related studies generally extract aspects and/or opinion expressions without recognizing the relations between them. However, the relations …