Výsledky vyhledávání - "word centrality"

Akademický článek

Topic Classification of Quranic Verses in English Translation Using Word Centrality Measurement

Autor: Achmad Salim Aiman, Kemas Muslim Lhaksmana, Jondri

Publikováno v: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 6, Iss 5, Pp 803-809 (2022)

Every Muslim in the world believes that the Quran is a miracle and the words of God (Kalamullah) revealed to the Prophet Muhammad SAW to be conveyed to humans. The Quran is used by humans as a guide in dealing with all problems in every aspect of lif

Externí odkaz: https://doaj.org/article/21ca7d4e5fcf456fbe67a3ba17bae685

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Akademický článek

Classifying Quranic Verse Topics using Word Centrality Measure

Autor: Ferdian Yulianto, Kemas Muslim Lhaksmana, Danang Triantoro Murdiansyah

Publikováno v: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 5, Iss 3, Pp 594-601 (2021)

Muslims believe that, as the speech of Allah, The Quran is a miracle that has specialties in itself. Some of the specialties that have studied are the regularities in the number of letters, words, vocabularies, etc. In the past, the early Islamic sch

Externí odkaz: https://doaj.org/article/a9b7351e3cad403d914466be0b75692c

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Akademický článek

Word centrality constrained representation for keyphrase extraction.

Autor: Gero Z; Emory University., Ho JC; Emory University.

Publikováno v: Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting [Proc Conf] 2021 Jun; Vol. 2021, pp. 155-161.

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Word centrality constrained representation for keyphrase extraction

Autor: Joyce C. Ho, Zelalem Gero

Publikováno v: BioNLP@NAACL-HLT
Proc Conf

To keep pace with the increased generation and digitization of documents, automated methods that can improve search, discovery and mining of the vast body of literature are essential. Keyphrases provide a concise representation by identifying salient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3315cfa579af7ea0efcd942be2ea5067
https://doi.org/10.18653/v1/2021.bionlp-1.17

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Enhancing comment Feedback classification using text classifiers with word centrality measures

Autor: Phayung Meesad, Sunantha Sodsee, Watchreewan Jitsakul

Publikováno v: 2017 2nd International Conference on Information Technology (INCIT).

This paper presents a novelty of item's feedback classification in e-commerce systems. This proposed work is developed based on a combination between a text classifier and word centrality measures. Herein, the item's feedback means comments written b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fc3085f3398aab5e8e552e449a8fb50
https://doi.org/10.1109/incit.2017.8257879

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