Enhancing Thematic Holy Quran Verse Retrieval through Vector Space Model and Query Expansion for Effective Query Answering-Reference-Cited by-同舟云学术

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Enhancing Thematic Holy Quran Verse Retrieval through Vector Space Model and Query Expansion for Effective Query Answering

Published:2023-10-18 Issue: Volume:2 Page:1-6
ISSN:
Container-title:2023 IEEE 9th Information Technology International Seminar (ITIS)
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Author:

Al Haromainy Muhammad Muharrom¹,Sari Anggraini Puspita¹,Prasetya Dwi Arman²,Subhan Muh³,Lisdiyanto Angga⁴,Septianto Tri⁵

Affiliation:

1. UPN Veteran Jawa Timur,Department of Informatics,Surabaya,Indonesia

2. UPN Veteran Jawa Timur,Department of Data Science,Surabaya,Indonesia

3. Politeknik Negeri Fakfak,Department of Management Informatic,Papua Barat,Indonesia

4. Nahdlatul Ulama University Sidoarjo,Department of Computer Science,Sidoarjo,Indonesia

5. Politeknik Negeri Madiun,Department of Engineering,Madiun,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419870/10419872/10420387.pdf?arnumber=10420387

Reference12 articles.

1. AN ANALYTICAL STUDY ON THE HOLY QURAN BASED ON THE ORDER OF WORDS IN ARABIC AND CONJUNCTION

2. Processing the Text of the Holy Quran: a Text Mining Study

3. Text mining approaches for analyzing an Indonesian tafseer and translation of the holy Quran

4. Thematic Learning-based Full-text Retrieval Research on British and American Journalistic Reading

5. Arabic natural language processing for Qur’anic research: a systematic review

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