Results 11 to 20 of about 8,324 (219)
Arabic Questions Classification Using Modified TF-IDF [PDF]
IEEE Access, 2021 Classifying the cognitive levels of assessment questions according to Bloom’s taxonomy can help instructors design effective assessments that are well aligned with the intended learning outcomes.
Ali Saleh Alammary
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Analyzing Documents with TF-IDF
The Programming Historian, 2019 This lesson focuses on a foundational natural language processing and information retrieval method called Term Frequency - Inverse Document Frequency (tf-idf).
Matthew J. Lavin
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TF-IDF-Based Classification of Uzbek Educational Texts
Applied SciencesThis paper presents a baseline study on automatic Uzbek text classification. Uzbek is a morphologically rich and low-resource language, which makes reliable preprocessing and evaluation challenging. The approach integrates Term Frequency–Inverse Document
Khabibulla Madatov +2 more
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Uzbek text summarization based on TF-IDF
CoRR, 2023 The volume of information is increasing at an incredible rate with the rapid development of the Internet and electronic information services. Due to time constraints, we don't have the opportunity to read all this information. Even the task of analyzing textual data related to one field requires a lot of work. The text summarization task helps to solve
Khabibulla Madatov +2 more
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A comparative study of keyword extraction algorithms for English texts
Journal of Intelligent Systems, 2021 This study mainly analyzed the keyword extraction of English text. First, two commonly used algorithms, the term frequency–inverse document frequency (TF–IDF) algorithm and the keyphrase extraction algorithm (KEA), were introduced.
Li Jinye
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Sentiment Analysis of Chinese Comments Based on Hybrid Vector Model [PDF]
Jisuanji gongcheng, 2020 In order to solve the problem of insufficient expression of sentiment information in the TF-IDF model,this paper proposes the Senti model to extract the sentiment information in the text,including positive/negative sentiment words,negative words ...
CHEN Xi, ZHU Xiaodong, GAO Guangkuo, XIAO Fangxiong
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Multi-Class Text Classification on Khmer News Using Ensemble Method in Machine Learning Algorithms
Acta Informatica Pragensia, 2023 The research herein applies text classification with which to categorize Khmer news articles. News articles were collected from three online websites through web scraping and grouped into nine categories.
Raksmey Phann +2 more
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Scientific Journal of Informatics, 2015 Salah satu keunggulan dari sebuah lembaga/unit pelayanan adalah seberapa cepat dan akurat dalam menangani keluhan pelanggan. Keluhan yang disampaikan pelanggan umumnya memiliki kesamaan dengan keluhan-keluhan sebelumnya, sehingga solusi dari keluhan baru
Abdul Aziz +2 more
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Mendel, 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
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Multilingual Search with Subword TF-IDF
CoRR, 2022 Multilingual search can be achieved with subword tokenization. The accuracy of traditional TF-IDF approaches depend on manually curated tokenization, stop words and stemming rules, whereas subword TF-IDF (STF-IDF) can offer higher accuracy without such heuristics.
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