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]

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…

Mining Fine-grained Opinion Expressions with Shallow Parsing

Multi-task memory networks for category-specific aspect and opinion terms co-extraction

In aspect-based sentiment analysis, most existing methods either focus on aspect/opinion terms extraction or aspect terms categorization. However, each task by itself only provides partial information to end users. To ge…

When Polysemy Matters: Modeling Semantic Categorization with Word Embeddings

Recent work using word embeddings to model semantic categorization have indicated that static models outperform the more recent contextual class of models (Majewska et al, 2021). In this paper, we consider polysemy as a …

Improving Opinion-Target Extraction with Character-Level Word Embeddings

Fine-grained sentiment analysis is receiving increasing attention in recent years. Extracting opinion target expressions (OTE) in reviews is often an important step in fine-grained, aspect-based sentiment analysis. Retri…