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
LICD: A Language-Independent Approach for Aspect Category Detection
For a given sentence, our proposed method performs ACD based on two hypotheses: First, a category should be assigned to a sentence if there is a high semantic similarity between the sentence and a set of representative words of that category.
Aspect Category Detection via Topic-Attention Network
In this paper, we propose a deep neural network method based on attention mechanism to identify different aspect categories of a given review sentence.
INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis
This paper describes our deep learning-based approach to multilingual aspect-based sentiment analysis as part of SemEval 2016 Task 5.
Representation Learning for Aspect Category Detection in Online Reviews
Afterwards, we propose to generate deeper and hybrid features through neural networks stacked on the word vectors.
