Integrating Terminology Extraction and Word Embedding for Unsupervised Aspect Based Sentiment Analysis

Abstract

In this paper we explore the advantages that unsupervised terminology extraction can bring to unsupervised Aspect Based Sentiment Analysis methods based on word embedding expansion techniques. We prove that the gain in terms of F-measure is in the order of 3%.