Aspect Term Extraction and Sentiment Classification

6 papers with code • 1 benchmarks • 3 datasets

Extracting the aspect terms as well as the corresponding sentiment polarities simultaneously.

Most implemented papers

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

lixin4ever/E2E-TBSA ACL 2019

Aspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence.

A Unified Generative Framework for Aspect-Based Sentiment Analysis

yhcc/BARTABSA ACL 2021

Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

huminghao16/SpanABSA ACL 2019

Open-domain targeted sentiment analysis aims to detect opinion targets along with their sentiment polarities from a sentence.

Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis


Aspect-based sentiment analysis (ABSA) involves three subtasks, i. e., aspect term extraction, opinion term extraction, and aspect-level sentiment classification.

Constituency Lattice Encoding for Aspect Term Extraction

leekum2018/cle4ate COLING 2020

One of the remaining challenges for aspect term extraction in sentiment analysis resides in the extraction of phrase-level aspect terms, which is non-trivial to determine the boundaries of such terms.

A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis

NUSTM/FS-ABSA SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023

In this work, we argue that two kinds of gaps, i. e., domain gap and objective gap, hinder the transfer of knowledge from pre-training language models (PLMs) to ABSA tasks.