Add to ORKGKeyword metadata is very important to the retrieval and management of scientific publications. However, keyword sparseness, in the scientific repository, threatens the usability, and manually assigning keywords is laborious and inefficiency. In this study, we investigate an automatic keyword assigning approach based on full-text citation analysis and supervised topic model, which can characterize the semantic relation between keyword label and the contextual meaning. Full-text citation network is constructed with publication topic distribution and citation topical motivation, which may potentially enhance the keyword label performance.ye
This paper analyses the keywords given by authors of scientific articles and the descriptors assigne...
An optimized bibliometric method was applied in this work to evaluate global scientific production o...
Assigning accurate keywords to research articles is increasingly important concern. Keywords should ...
Keyword metadata is very important to the retrieval and management of scientific publications. Howev...
Keyword metadata is very important to the access, retrieval, and management of scientific publicatio...
peer-reviewedTopical indexing of documents with keyphrases is a common method used for revealing the...
This paper proposes a supervised model for keyphrase extraction from research papers, which are embe...
Keyphrases for a document concisely describe the document using a small set of phrases. Keyphrases w...
With the increase in scholarly articles published every day, the need for an automated systematic ex...
Mapping a research domain can be of great significance for understanding and structuring the state-o...
All research articles begin with a title. Most include an abstract. Several include keywords. All th...
This paper is based on an analytical study of 335 keywords extracted from titles and abstracts of 70...
When talking about the fundamentals of writing research papers, we find that keywords are still pres...
Automatic keyword or keyphrase extraction is concerned with assigning keyphrases to documents based ...
As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain a...
This paper analyses the keywords given by authors of scientific articles and the descriptors assigne...
An optimized bibliometric method was applied in this work to evaluate global scientific production o...
Assigning accurate keywords to research articles is increasingly important concern. Keywords should ...
Keyword metadata is very important to the retrieval and management of scientific publications. Howev...
Keyword metadata is very important to the access, retrieval, and management of scientific publicatio...
peer-reviewedTopical indexing of documents with keyphrases is a common method used for revealing the...
This paper proposes a supervised model for keyphrase extraction from research papers, which are embe...
Keyphrases for a document concisely describe the document using a small set of phrases. Keyphrases w...
With the increase in scholarly articles published every day, the need for an automated systematic ex...
Mapping a research domain can be of great significance for understanding and structuring the state-o...
All research articles begin with a title. Most include an abstract. Several include keywords. All th...
This paper is based on an analytical study of 335 keywords extracted from titles and abstracts of 70...
When talking about the fundamentals of writing research papers, we find that keywords are still pres...
Automatic keyword or keyphrase extraction is concerned with assigning keyphrases to documents based ...
As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain a...
This paper analyses the keywords given by authors of scientific articles and the descriptors assigne...
An optimized bibliometric method was applied in this work to evaluate global scientific production o...
Assigning accurate keywords to research articles is increasingly important concern. Keywords should ...