Aspect Category Sentiment Analysis
11 papers with code • 1 benchmarks • 1 datasets
Involves both detecting aspect-based categories and classifying the polarities of these categories. Therefore it combines the tasks of Aspect Category Detection (ACD) and Aspect Category Sentiment Classification (ACSC).
Most implemented papers
Aspect Based Sentiment Analysis with Gated Convolutional Networks
Aspect based sentiment analysis (ABSA) can provide more detailed information than general sentiment analysis, because it aims to predict the sentiment polarities of the given aspects or entities in text.
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
Aspect category sentiment analysis (ACSA) aims to predict the sentiment polarities of the aspect categories discussed in sentences.
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis
In this paper, to make multi-task learning feasible for incremental learning, we proposed Category Name Embedding network (CNE-net).
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
Given a sentence and the aspect categories mentioned in the sentence, AC-MIMLLN first predicts the sentiments of the instances, then finds the key instances for the aspect categories, finally obtains the sentiments of the sentence toward the aspect categories by aggregating the key instance sentiments.
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
Aspect category sentiment analysis (ACSA) and review rating prediction (RP) are two essential tasks to detect the fine-to-coarse sentiment polarities.
Solving Aspect Category Sentiment Analysis as a Text Generation Task
Aspect category sentiment analysis has attracted increasing research attention.
AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
Aspect Based Sentiment Analysis is a dominant research area with potential applications in social media analytics, business, finance, and health.
FABSA: An aspect-based sentiment analysis dataset of user reviews
The majority of available ABSA systems heavily rely on manually annotated datasets to train supervised machine learning models.
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis
To address the issue of multiple aspect categories and sentiment entanglement, we propose a hierarchical disentanglement module to extract distinct categories and sentiment features.
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis
To address this, we introduce a new Vietnamese multimodal dataset, named ViMACSA, which consists of 4, 876 text-image pairs with 14, 618 fine-grained annotations for both text and image in the hotel domain.