sCAKE: Semantic Connectivity Aware Keyword Extraction
نویسندگان
چکیده
منابع مشابه
Keyword Extraction using Semantic Analysis
Keywords are list of significant words or terms that best present the document context in brief and relate to the textual context. Extraction models are categorized into either statistical, linguistic, machine learning or a combination of these approaches. This paper introduces a model for extracting keywords based on their relatedness weight among the entire text terms. Strength of terms relat...
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The goal of implementing a keyword extraction system is to increase as near as 100% of precision and recall. These values are affected by the amount of extracted keywords. There are two groups of errors happened i.e. false-rejected and false-accepted keywords. To improve the performance of the system, false-rejected keywords should be recovered and the false-accepted keywords should be reduced....
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Keywords are list of significant words or terms that best present the document context in brief and relate to the textual context. Extraction models are categorized into either statistical, linguistic, machine learning or a combination of these approaches. This paper introduces a model for extracting keywords by making words pairs and clustering these pairs based on the Semantic similarity that...
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Content on the web is often organized through user generated tags for intuitive search and retrieval. Such tags convey meta-information about the subject matter of the texts they represent. For this project, we applied machine learning (Bayesian co-occurrence, k-NN, SVM, NNS) to predict tags of StackExchange posts obtained from Kaggle: “Facebook Recruiting Keyword Extraction III.” Using our non...
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2. BACKGROUND A team comprised of the Center for Natural Language Processing (CNLP) at Syracuse University and the Digital Learning Sciences (DLS) at the University Corporation for Atmospheric Research recently completed a project that integrated many digital library tools into one, which is called Metadata Assignment and Search Tool (MAST). 1 This tool enables libraries and museums to efficien...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2019
ISSN: 0020-0255
DOI: 10.1016/j.ins.2018.10.034