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The importance of Term Weighting in semantic understanding of text: A review of techniques. [PDF]

open access: yesMultimed Tools Appl, 2023
In this paper we review a wide spectrum of techniques which have been proposed in literature to enable acceptable recognition of language and text by machines.
Rathi RN, Mustafi A.
europepmc   +2 more sources

Detecting Emotion in Indonesian Tweets: A Term-Weighting Scheme Study

open access: yesJournal of Information Systems Engineering and Business Intelligence, 2022
Background: Term-weighting plays a key role in detecting emotion in texts. Studies in term-weighting schemes aim to improve short text classification by distinguishing terms accurately.
Kuncahyo Setyo Nugroho   +2 more
doaj   +2 more sources

Improving Term Weighting Schemes for Short Text Classification in Vector Space Model

open access: yesIEEE Access, 2019
Short text is one of the predominant forms of communication with unique characteristics such as short length, high sparsity, and lack of shared context and word co-occurrence.
Surender Singh Samant   +2 more
doaj   +2 more sources

Perbandingan Metode Term Weighting terhadap Hasil Klasifikasi Teks pada Dataset Terjemahan Kitab Hadis

open access: yesRekayasa, 2020
Hadis adalah sumber rujukan agama Islam kedua setelah Al-Qur’an. Teks Hadis saat ini diteliti dalam bidang teknologi untuk dapat ditangkap nilai-nilai yang terkandung di dalamnya secara pegetahuan teknologi. Dengan adanya penelitian terhadap Kitab Hadis,
Ana Tsalitsatun Ni'mah   +1 more
doaj   +2 more sources

TERM WEIGHTING BASED ON POSITIVE IMPACT FACTOR QUERY FOR ARABIC FIQH DOCUMENT RANKING [PDF]

open access: yesJurnal Ilmu Komputer dan Informasi, 2017
Query becomes one of the most decisive factor on documents searching. A query contains several words, where one of them will become a key term. Key term is a word that has higher information and value than the others in query.
Rizka Sholikah   +3 more
doaj   +5 more sources

Identifying Optimal Baseline Variant of Unsupervised Term Weighting in Question Classification Based on Bloom Taxonomy

open access: yesMendel, 2022
Examination is one of the common ways to evaluate the students’ cognitive levels in higher education institutions. Exam questions are labeled manually by educators in accordance with Bloom’s taxonomy cognitive domain. To ease the burden of the educators,
Anbuselvan Sangodiah   +5 more
doaj   +2 more sources

Text categorisation in Quran and Hadith: Overcoming the interrelation challenges using machine learning and term weighting

open access: yesJournal of King Saud University: Computer and Information Sciences, 2021
Quran and Al-Hadith are interrelated in the sense that both often complement each other in interpreting Islamic teachings. In order to gain comprehension of the Quran in detail, it is vital for a Muslim to refer to Al-Hadith in clarifying ambiguities ...
Nur Aqilah Paskhal Rostam   +1 more
doaj   +2 more sources

Pengembangan Sistem Penelusuran Katalog Perpustakaan Dengan Metode Rocchio Relevance Feedback [PDF]

open access: yesJurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2013
Tanpa adanya sistem penelusuran katalog yang terkomputerisasi maka pengunjung perpustakaan mengalami kesulitan untuk mengetahui ketersediaan bahan pustaka dan pustakawan mengalami kesulitan dalam mengelola bahan pustaka.
Pausta Yugianus   +2 more
doaj   +4 more sources

ETFPOS-IDF: A Novel Term Weighting Scheme for Examination Question Classification Based on Bloom’s Taxonomy

open access: yesIEEE Access, 2022
Numerous earlier studies focused on the term weighting scheme to increase examination question classification accuracy based on Bloom’s Taxonomy (BT).
Mohammed Osman Gani   +4 more
doaj   +1 more source

Unified Neural Topic Model via Contrastive Learning and Term Weighting

open access: yesConference of the European Chapter of the Association for Computational Linguistics, 2023
Two types of topic modeling predominate: generative methods that employ probabilistic latent models and clustering methods that identify semantically coherent groups.
Sungwon Han   +4 more
semanticscholar   +1 more source

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