Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification

03/29/2021
by   Lisa Meijer, et al.
0

Many high performance machine learning models for Aspect-Based Sentiment Classification (ABSC) produce black box models, and therefore barely explain how they classify a certain sentiment value towards an aspect. In this paper, we propose explanation models, that inspect the internal dynamics of a state-of-the-art neural attention model, the LCR-Rot-hop, by using a technique called Diagnostic Classification. Our diagnostic classifier is a simple neural network, which evaluates whether the internal layers of the LCR-Rot-hop model encode useful word information for classification, i.e., the part of speech, the sentiment value, the presence of aspect relation, and the aspect-related sentiment value of words. We conclude that the lower layers in the LCR-Rot-hop model encode the part of speech and the sentiment value, whereas the higher layers represent the presence of a relation with the aspect and the aspect-related sentiment value of words.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/29/2019

A Joint Model for Aspect-Category Sentiment Analysis with Contextualized Aspect Embedding

Aspect-category sentiment analysis (ACSA) aims to identify all the aspec...
research
07/04/2018

A Convolutional Neural Network for Aspect Sentiment Classification

With the development of the Internet, natural language processing (NLP),...
research
05/28/2016

Aspect Level Sentiment Classification with Deep Memory Network

We introduce a deep memory network for aspect level sentiment classifica...
research
12/14/2017

Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) tries to predict the polarity of ...
research
02/21/2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations

Gradient-based explanation methods play an important role in the field o...
research
09/13/2019

Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification

We introduce a novel parameterized convolutional neural network for aspe...
research
03/05/2021

Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning

In aspect-based sentiment analysis (ABSA), many neural models are equipp...

Please sign up or login with your details

Forgot password? Click here to reset