Clue Propagation Based on Non-Adjective Opinion Words for Handling Disconnected Propagation in Product Reviews

Abstract

Recently, much research has focused on explicit aspect extraction. User reviews in the textual form are unstructured data, creating a very high complexity when processed for sentiment analysis. Previous propagation approaches proposed in this area mainly focused only on adjective-and-noun-based relations. By using only a small seed of opinion words, there is a possibility that the propagation can be disconnected, resulting in several aspects and opinions remaining unextracted. To overcome the aforementioned problem, we propose clue propagation method by using several clues to successfully identify aspects and opinions to extract explicit aspects, including noun-and-verb-based relations. The utilization of more than one clue in the propagation prevented premature termination, extending the scope of the extraction. We evaluated our proposed method by comparing it with several state-of-the-art methods. Empirically, the experimental results showed that the added more clues in clue propagation method could extract aspects and opinions that were not extracted in previous studies. Clue propagation can overcome the possibility of disconnected properties in the propagation method.

Keywords

• Aspect-based sentiment analysis
• aspect extraction
• explicit aspect
• clue propagation
• noun-and-verb-based relations