Aspect-Based Sentiment Analysis

81 papers with code • 10 benchmarks • 6 datasets

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

( Image credit: Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence )

Greatest papers with code

Interactive Attention Networks for Aspect-Level Sentiment Classification

songyouwei/ABSA-PyTorch 4 Sep 2017

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 General Classification

Aspect Level Sentiment Classification with Deep Memory Network

songyouwei/ABSA-PyTorch EMNLP 2016

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 General Classification

Effective LSTMs for Target-Dependent Sentiment Classification

songyouwei/ABSA-PyTorch COLING 2016

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 General Classification

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

HSLCY/ABSA-BERT-pair NAACL 2019

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 General Classification +2

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis

howardhsu/BERT-for-RRC-ABSA 31 Oct 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 Language Modelling +1