id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_txwlf7z2cjbp3gv44ch47txckm	Giuseppe Rizzo	Semantic Enrichment for Recommendation of Primary Studies in a Systematic Literature Review	2015.0	19	.pdf	application/pdf	8108	595	60	Semantic Enrichment for Recommendation of Primary Studies in a Systematic Literature Review / Rizzo, Giuseppe; A Multinomial Naive Bayes classifier discriminates whether the enriched document belongs to the positive example set or not. A SLR has to be performed according to a pre-defined protocol describing how primary studies4 are selected and categorized, reducing as much as of Software Engineering, where the protocol can be summarized by the following steps (Kitchenham 2004): (i) identification of research, (ii) selection of primary studies, (iii) study quality assessment, (iv) data extraction and monitoring According to this result, it is crucial to consider the classification problem in the SLR field as a semi-supervised approach The proposed approach relies on text mining techniques and semantic enrichment to reduce the set of interesting papers a researcher has to evaluate. The enriched study selection process and its principal steps: model extraction Naive Bayes classifier using original papers (non-enriched process), mwE is	./cache/work_txwlf7z2cjbp3gv44ch47txckm.pdf	./txt/work_txwlf7z2cjbp3gv44ch47txckm.txt