Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis

11/01/2020
by   Zhen Wu, et al.
0

Aspect-based sentiment analysis (ABSA) aims at analyzing the sentiment of a given aspect in a sentence. Recently, neural network-based methods have achieved promising results in existing ABSA datasets. However, these datasets tend to degenerate to sentence-level sentiment analysis because most sentences contain only one aspect or multiple aspects with the same sentiment polarity. To facilitate the research of ABSA, NLPCC 2020 Shared Task 2 releases a new large-scale Multi-Aspect Multi-Sentiment (MAMS) dataset. In the MAMS dataset, each sentence contains at least two different aspects with different sentiment polarities, which makes ABSA more complex and challenging. To address the challenging dataset, we re-formalize ABSA as a problem of multi-aspect sentiment analysis, and propose a novel Transformer-based Multi-aspect Modeling scheme (TMM), which can capture potential relations between multiple aspects and simultaneously detect the sentiment of all aspects in a sentence. Experiment results on the MAMS dataset show that our method achieves noticeable improvements compared with strong baselines such as BERT and RoBERTa, and finally ranks the 2nd in NLPCC 2020 Shared Task 2 Evaluation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/27/2018

CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis

Aspect level sentiment classification is a fine-grained sentiment analys...
research
12/15/2020

Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution

In this paper, we introduce a new framework called the sentiment-aspect ...
research
04/16/2022

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis

Aspect-Based Sentiment Analysis is a fine-grained sentiment analysis tas...
research
09/04/2019

Extracting Aspects Hierarchies using Rhetorical Structure Theory

We propose a novel approach to generate aspect hierarchies that proved t...
research
08/16/2023

Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT

The groundbreaking invention of ChatGPT has triggered enormous discussio...
research
09/26/2017

Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision

Aspect Term Extraction (ATE) detects opinionated aspect terms in sentenc...
research
06/17/2019

Context-aware Embedding for Targeted Aspect-based Sentiment Analysis

Attention-based neural models were employed to detect the different aspe...

Please sign up or login with your details

Forgot password? Click here to reset