id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_fycwsprctvej7fdxxin7bffb7a	Bhavana R. Bhamare	A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas	2021	22	.pdf	application/pdf	9723	1334	53	and selective dependency relation based features are extracted. Keywords Feature extraction, Aspect based sentiment analysis, Machine learning, Natural language proposed a dependency rule-based methodology to resolve the issue of aspect extraction (2019) worked on ruled based methods for extracting product features. (2017a) presented a two-fold rule-based approach to extract aspects. Firmanto & Sarno (2019) proposed an aspect-based sentiment analysis method utilizing The rule-based features are extracted using dependency relations the performance of aspect category extraction is improved if rule-based features are aspect category and then applying the proposed method, features are extracted from Step 2: Extract lemma and rule based features from individual test sentence Review-aggregated aspect-based sentiment analysis with ontology features. A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas ... A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas ...	./cache/work_fycwsprctvej7fdxxin7bffb7a.pdf	./txt/work_fycwsprctvej7fdxxin7bffb7a.txt