Aspect Category Sentiment Analysis
9 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).
Benchmarks
These leaderboards are used to track progress in Aspect Category Sentiment Analysis
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FABSA
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
l294265421/SCAN
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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
l294265421/AC-MIMLLN
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EMNLP 2020
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
lgw863/acsa-generation
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EMNLP 2021
Aspect category sentiment analysis has attracted increasing research attention.
AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
sabyasachi-kamila/ax-mabsa
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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.
