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

Understand

This paper describes our deep learning-based approach to multilingual aspect-based sentiment analysis as part of SemEval 2016 Task 5.

• We use a convolutional neural network (CNN) for both aspect extraction and aspect-based sentiment analysis.
• We cast aspect extraction as a multi-label classification problem, outputting probabilities over aspects parameterized by a threshold.
• To determine the sentiment towards an aspect, we concatenate an aspect vector with every word embedding and apply a convolution over it.