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Aspect-Based Sentiment Analysis

23 papers with code · Natural Language Processing
Subtask of Sentiment Analysis

Aspect-based sentiment analysis is the task of identifying fine-grained opinion polarity towards a specific aspect associated with a given target.

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Greatest papers with code

Interactive Attention Networks for Aspect-Level Sentiment Classification

4 Sep 2017songyouwei/ABSA-PyTorch

In this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning.

ASPECT-BASED SENTIMENT ANALYSIS

Aspect Level Sentiment Classification with Deep Memory Network

EMNLP 2016 songyouwei/ABSA-PyTorch

Such importance degree and text representation are calculated with multiple computational layers, each of which is a neural attention model over an external memory.

ASPECT-BASED SENTIMENT ANALYSIS

Effective LSTMs for Target-Dependent Sentiment Classification

COLING 2016 songyouwei/ABSA-PyTorch

Target-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence.

ASPECT-BASED SENTIMENT ANALYSIS

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

NAACL 2019 HSLCY/ABSA-BERT-pair

Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).

ASPECT-BASED SENTIMENT ANALYSIS NATURAL LANGUAGE INFERENCE QUESTION ANSWERING

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

NAACL 2019 howardhsu/BERT-for-RRC-ABSA

Since ReviewRC has limited training examples for RRC (and also for aspect-based sentiment analysis), we then explore a novel post-training approach on the popular language model BERT to enhance the performance of fine-tuning of BERT for RRC.

ASPECT-BASED SENTIMENT ANALYSIS

Transformation Networks for Target-Oriented Sentiment Classification

ACL 2018 lixin4ever/TNet

After re-examining the drawbacks of attention mechanism and the obstacles that block CNN to perform well in this classification task, we propose a new model to overcome these issues.

ASPECT-BASED SENTIMENT ANALYSIS