Tag Search System Using the Keyword Extraction and Similarity Evaluation

Autor:	Myungsik Yoo, Jaein Jung
Rok vydání:	2015
Předmět:	Information retrieval Keyword density Similarity (network science) Computer science Keyword extraction Data mining Tag cloud computer.software_genre computer
Zdroj:	The Journal of Korean Institute of Communications and Information Sciences. 40:2485-2487
ISSN:	1226-4717
DOI:	10.7840/kics.2015.40.12.2485
Popis:	Recently, Hashtag is widely used in SNS like Facebook, Twitter and personal blogs. However, the efficiency of tag search system is poor due to the indiscriminate use of hashtags. To enhance the accuracy of tag search system, we proposed a tag search system using the keyword extraction and similarity evaluation. The experimental results show that the proposed system provides the higher accuracy on tag search results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::68c321fcbcd26e6eb89fc6a745629bac https://doi.org/10.7840/kics.2015.40.12.2485 Zobrazit plný text záznamu