Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture

by   Soufian Jebbara, et al.

The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable opportunities and insights for customers and businesses can be gained. We propose a neural network based system to address the task of Aspect-Based Sentiment Analysis to compete in Task 2 of the ESWC-2016 Challenge on Semantic Sentiment Analysis. Our proposed architecture divides the task in two subtasks: aspect term extraction and aspect-specific sentiment extraction. This approach is flexible in that it allows to address each subtask independently. As a first step, a recurrent neural network is used to extract aspects from a text by framing the problem as a sequence labeling task. In a second step, a recurrent network processes each extracted aspect with respect to its context and predicts a sentiment label. The system uses pretrained semantic word embedding features which we experimentally enhance with semantic knowledge extracted from WordNet. Further features extracted from SenticNet prove to be beneficial for the extraction of sentiment labels. As the best performing system in its category, our proposed system proves to be an effective approach for the Aspect-Based Sentiment Analysis.


page 1

page 2

page 3

page 4


Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture

Sentiment analysis can be regarded as a relation extraction problem in w...

INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis

This paper describes our deep learning-based approach to multilingual as...

Controlled CNN-based Sequence Labeling for Aspect Extraction

One key task of fine-grained sentiment analysis on reviews is to extract...

Improving Opinion-Target Extraction with Character-Level Word Embeddings

Fine-grained sentiment analysis is receiving increasing attention in rec...

A Survey on Aspect-Based Sentiment Classification

With the constantly growing number of reviews and other sentiment-bearin...

SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods

In this paper, we introduce the task of targeted aspect-based sentiment ...

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

One key task of fine-grained sentiment analysis of product reviews is to...

Please sign up or login with your details

Forgot password? Click here to reset