Aspect Category Detection
11 papers with code • 4 benchmarks • 4 datasets
Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence.
Benchmarks
These leaderboards are used to track progress in Aspect Category Detection
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SemEval-2014 Task-4
FABSA
Latest papers with no code
Supervised Gradual Machine Learning for Aspect Category Detection
Aspect Category Detection (ACD) aims to identify implicit and explicit aspects in a given review sentence.
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection
Our main concepts are to add a number of seed words to the initial set and to treat the task of noise resolution as a task of augmenting data for a low-resource task.
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation
Since aspect category detection often suffers from limited datasets and data sparsity, the prototypical network with attention mechanisms has been applied for few-shot aspect category detection.
Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis
We also demonstrate the interpretability of DSPN's outputs on reviews to show the pyramid structure inherent in unified sentiment analysis.
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection
Multi-label aspect category detection allows a given review sentence to contain multiple aspect categories, which is shown to be more practical in sentiment analysis and attracting increasing attention.
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation
In this paper, we introduce AWARE as a benchmark dataset of 11323 apps reviews that are annotated with aspect terms, categories, and sentiment.
Multi-Label Few-Shot Learning for Aspect Category Detection
Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence.
Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection
In this paper, we investigate the performance of various monolingual pre-trained language models compared with multilingual models on the Vietnamese aspect category detection problem.
Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network
In this work, we re-formalize the task as a category-sentiment hierarchy prediction problem, which contains a hierarchy output structure to first identify multiple aspect categories in a piece of text, and then predict the sentiment for each of the identified categories.
SentiTel: TABSA for Twitter reviews on Uganda Telecoms
SentiTel contains 6320 reviews that are annotated with the target telecom, aspect and sentiment towards the aspect of the target telecom.
