DeepAI AI Chat
Log In Sign Up

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis

12/17/2022
by   Chenyang Lyu, et al.
Trinity College Dublin
Dublin City University
westlake.edu.cn
0

User and product information associated with a review is useful for sentiment polarity prediction. Typical approaches incorporating such information focus on modeling users and products as implicitly learned representation vectors. Most do not exploit the potential of historical reviews, or those that currently do require unnecessary modifications to model architecture or do not make full use of user/product associations. The contribution of this work is twofold: i) a method to explicitly employ historical reviews belonging to the same user/product to initialize representations, and ii) efficient incorporation of textual associations between users and products via a user-product cross-context module. Experiments on IMDb, Yelp-2013 and Yelp-2014 benchmarks show that our approach substantially outperforms previous state-of-the-art. Since we employ BERT-base as the encoder, we additionally provide experiments in which our approach performs well with Span-BERT and Longformer. Furthermore, experiments where the reviews of each user/product in the training data are downsampled demonstrate the effectiveness of our approach under a low-resource setting.

READ FULL TEXT

page 1

page 2

page 3

page 4

11/18/2020

Improving Document-Level Sentiment Analysis with User and Product Context

Past work that improves document-level sentiment analysis by encoding us...
06/14/2018

Cold-Start Aware User and Product Attention for Sentiment Classification

The use of user/product information in sentiment analysis is important, ...
09/16/2018

Dual Memory Network Model for Biased Product Review Classification

In sentiment analysis (SA) of product reviews, both user and product inf...
06/18/2020

OMBA: User-Guided Product Representations for Online Market Basket Analysis

Market Basket Analysis (MBA) is a popular technique to identify associat...
01/24/2018

Improving Review Representations with User Attention and Product Attention for Sentiment Classification

Neural network methods have achieved great success in reviews sentiment ...
09/10/2019

Learning review representations from user and product level information for spam detection

Opinion spam has become a widespread problem in social media, where hire...
05/23/2021

Automatic Product Ontology Extraction from Textual Reviews

Ontologies have proven beneficial in different settings that make use of...