Dependency Structure-based Rules using Root Node Technique for Explicit Aspect Extraction from Online Reviews

Aspect-based sentiment analysis (ABSA) includes aspect extraction and on those extracted aspects. This paper is mainly focused the explicit from product based online customer reviews. Many research studies extractions have adopted dependency rule-based techniques but limited their focus to only nouns noun phrases as potential Moreover, of multiple-aspects multi-word aspects reviews are also not addressed by previous studies. In this paper, we proposed a Dependency structure-based rules using ROOT Node (DS-RN) technique spaCy parser extract nouns, phrases, verbs, verb in addition single word, multiple multi word review datasets. our methodology, 30 new dependency-based formulated implemented 5 different product-based study pattern structures sentences develop for extraction. The approach incorporated lexicon-based pruning remove irrelevant retain correct performance results datasets demonstrate that DS-RN outperforms all other state-of-the-art baseline works with averaged value precision 87%, recall 97% 91% F1-score.