Aspect-Based Sentiment Analysis
152 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Aspect-Based Sentiment Analysis
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Libraries
Use these libraries to find Aspect-Based Sentiment Analysis models and implementations
SemEval-2014 Task-4
FABSA
Most implemented papers
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
XL2248/DREGCN
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The aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims to extract the aspect term and then identify its sentiment orientation. In previous approaches, the explicit syntactic structure of a sentence, which reflects the syntax properties of natural language and hence is intuitively crucial for aspect term extraction and sentiment recognition, is typically neglected or insufficiently modeled.
A Multi-task Learning Framework for Opinion Triplet Extraction
GeneZC/OTE-MTL
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Findings of the Association for Computational Linguistics 2020
The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms.
A Unified Generative Framework for Aspect-Based Sentiment Analysis
Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks
Aspect Based Sentiment Analysis, PyTorch Implementations.
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure
Besides, most of these supervised methods require feature engineering to perform well.
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis
XL2248/IKTN
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Findings (EMNLP) 2021
Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification, which are typically handled in a separate or joint manner.
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention
In this paper we extend the state-of-the-art Hybrid Approach for Aspect-Based Sentiment Analysis (HAABSA) method in two directions.
Improving BERT Performance for Aspect-Based Sentiment Analysis
IMPLabUniPr/BERT-for-ABSA
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ICNLSP 2021
Aspect-Based Sentiment Analysis (ABSA) studies the consumer opinion on the market products.
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
howardhsu/BERT-for-RRC-ABSA
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COLING 2020
Most features in the representation of an aspect are dedicated to the fine-grained semantics of the domain (or product category) and the aspect itself, instead of carrying summarized opinions from its context.
Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble
cuhksz-nlp/ASA-TGCN
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NAACL 2021
It is popular that neural graph-based models are applied in existing aspect-based sentiment analysis (ABSA) studies for utilizing word relations through dependency parses to facilitate the task with better semantic guidance for analyzing context and aspect words.
