%0 Journal Article %1 emu_efficient_2017 %A Emu, Imtiaz Hossain %A Ahmed, Asraf Uddin %A Islam, Manowarul %A Mamun, Selim Al %A Uddin, Ashraf %D 2017 %J International Journal of Intelligent Systems and Applications(IJISA) %K terminologieextraktion %N 12 %P 59--66 %T An efficient approach for keyphrase extraction from english document %U http://www.mecs-press.org/ijisa/ijisa-v9-n12/v9n12-6.html %V 9 %X Keyphrases are set of words that reflect the main topic of interest of a document. It plays vital roles in document summarization, text mining, and retrieval of web contents. As it is closely related to a document, it reflects the contents of the document and acts as indices for a given document. Extracting the ideal keyphrases is important to understand the main contents of the document. In this work, we present a keyphrase extraction method that efficiently finds the keywords from English documents. The methods use some important features of the document such as TF, TF*IDF, GF, GF*IDF, TF*GF*IDF for the purpose. Finally, the performance of the proposal is evaluated using well-known document corpus.

@article{emu_efficient_2017, abstract = {Keyphrases are set of words that reflect the main topic of interest of a document. It plays vital roles in document summarization, text mining, and retrieval of web contents. As it is closely related to a document, it reflects the contents of the document and acts as indices for a given document. Extracting the ideal keyphrases is important to understand the main contents of the document. In this work, we present a keyphrase extraction method that efficiently finds the keywords from English documents. The methods use some important features of the document such as TF, TF*IDF, GF, GF*IDF, TF*GF*IDF for the purpose. Finally, the performance of the proposal is evaluated using well-known document corpus.}, added-at = {2018-11-04T17:00:37.000+0100}, author = {Emu, Imtiaz Hossain and Ahmed, Asraf Uddin and Islam, Manowarul and Mamun, Selim Al and Uddin, Ashraf}, biburl = {https://www.bibsonomy.org/bibtex/24ac282b2ef3bfd5c51f227ea8bb4ed3c/lepsky}, interhash = {3db42c07be744fcaa76cb9b54a675a8d}, intrahash = {4ac282b2ef3bfd5c51f227ea8bb4ed3c}, journal = {International Journal of Intelligent Systems and Applications(IJISA)}, keywords = {terminologieextraktion}, number = 12, pages = {59--66}, timestamp = {2018-11-04T17:00:37.000+0100}, title = {An efficient approach for keyphrase extraction from english document}, url = {http://www.mecs-press.org/ijisa/ijisa-v9-n12/v9n12-6.html}, urldate = {2017-12-21}, volume = 9, year = 2017 }