Add to ORKGThis thesis deals with various methods of keyphrase extraction from documents, specifically focused on documents from the Central Portal of Czech Libraries. Various methods from statistical, linguistic and graph-based methods have been implemented. Also a new method was suggested, that combines the statistical and linguistic approach. Individual methods have been tested and analyzed according to the standard evaluation metrics, with the suggested method achieving recall of 30 percent
With the increasing amount of text data in various application fields, how to quickly and accurately...
In the present work, the problem of keyword extraction is studied. The work contains a brief introdu...
International audienceKeyphrase annotation is the task of identifying textual units that represent t...
Táto práca sa zaoberá rôznymi metódami extrakcie kľúčových výrazov z dokumentov, zo zameraním na die...
This thesis describes design, implementation and testing of application for automatic keyterm extrac...
Abstract. Keyphrases are useful for variety of purposes including: text clustering, classification, ...
The keyphrases of a document are the textual units that characterize its content such as the topics ...
This research addresses the problem of automatic keyphrase extraction from large documents and back ...
Increasing number of documents in the Web caused the growth of needs for tools supporting automatic ...
This thesis pursues an automated extraction of keywords from documents. Its goal is to design and im...
Keyphrases are an important means of document summarization, clustering, and topic search. Only a sm...
Keyphrases can provide a brief summary of documents. Keyphrase extraction, defined as automatic sele...
Keyphrases are widely used in both physical and digital libraries as a brief, but precise, summary o...
Prospective readers can quickly determine whether a document is relevant to their information need i...
International audienceThis paper describes the design of a system for extracting keyphrases from a s...
With the increasing amount of text data in various application fields, how to quickly and accurately...
In the present work, the problem of keyword extraction is studied. The work contains a brief introdu...
International audienceKeyphrase annotation is the task of identifying textual units that represent t...
Táto práca sa zaoberá rôznymi metódami extrakcie kľúčových výrazov z dokumentov, zo zameraním na die...
This thesis describes design, implementation and testing of application for automatic keyterm extrac...
Abstract. Keyphrases are useful for variety of purposes including: text clustering, classification, ...
The keyphrases of a document are the textual units that characterize its content such as the topics ...
This research addresses the problem of automatic keyphrase extraction from large documents and back ...
Increasing number of documents in the Web caused the growth of needs for tools supporting automatic ...
This thesis pursues an automated extraction of keywords from documents. Its goal is to design and im...
Keyphrases are an important means of document summarization, clustering, and topic search. Only a sm...
Keyphrases can provide a brief summary of documents. Keyphrase extraction, defined as automatic sele...
Keyphrases are widely used in both physical and digital libraries as a brief, but precise, summary o...
Prospective readers can quickly determine whether a document is relevant to their information need i...
International audienceThis paper describes the design of a system for extracting keyphrases from a s...
With the increasing amount of text data in various application fields, how to quickly and accurately...
In the present work, the problem of keyword extraction is studied. The work contains a brief introdu...
International audienceKeyphrase annotation is the task of identifying textual units that represent t...