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Term Weighting Using Term Dependence
International Journal of Computer Applications, 2010 Performance of an information retrieval system depends on its weighting scheme. Weighting of a term can be seen in two aspects, local and global. For each type of weighting scheme, generally, single terms are considered. Term dependency is quite natural in a document. Word pairs or phrases can better describe a document in place of single terms. In the
Raj Kishor Bisht +2 more
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Categorization of Unorganized Text Corpora for better Domain-Specific Language Modeling
Advances in Electrical and Electronic Engineering, 2013 This paper describes the process of categorization of unorganized text data gathered from the Internet to the in-domain and out-of-domain data for better domain-specific language modeling and speech recognition.
Jan Stas +3 more
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Optimizing Document Retrieval by Measurement Resemblance Between Semantic Word Methods
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2020 The aims of article to present the method for measuring semantic similarity between words. Data test are documents in the computer domain from ThaiLIS : Thai Library Integration System 50 documents and prepare a Dublin Core metadata for documentation ...
Kamonwan Ratchatawetchakul +3 more
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A New Term Frequency with Gaussian Technique for Text Classification and Sentiment Analysis
Journal of ICT Research and Applications, 2021 This paper proposes a new term frequency with a Gaussian technique (TF-G) to classify the risk of suicide from Thai clinical notes and to perform sentiment analysis based on Thai customer reviews and English tweets of travelers that use US airline ...
Vuttichai Vichianchai +1 more
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Classification of Hadith According to Its Content Based on Supervised Learning Algorithms
IEEE Access, 2019 Given the importance of the Prophet’s Hadith for Muslims all over the world, where it is the second source of Islam after the Qur’an and the fundamental resource of legislation in the Islam community.
Hammam M. Abdelaal +2 more
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Invariants, Patterns and Weights for Ordering Terms
Journal of Symbolic Computation, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ursula Martin, Duncan Shand
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Empirical term weighting and expansion frequency [PDF]
Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics -, 2000 We propose an empirical method for estimating term weights directly from relevance judgments, avoiding various standard but potentially trouble-some assumptions. It is common to assume, for example, that weights vary with term frequency (tf) and inverse document frequency (idf) in a particular way, e.g., tf .idf, but the fact that there are so many ...
Kyoji Umemura, Kenneth Ward Church
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Using Stream Features for Instant Document Filtering [PDF]
, 2012 In this paper, we discuss how event processing technologies can be employed for real-time text stream processing and information filtering in the context of the TREC 2012 microblog task.
Wolff, Christian, Bauer, Andreas
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USTW Vs. STW: A Comparative Analysis for Exam Question Classification based on Bloom’s Taxonomy
Mendel, 2022 Bloom’s Taxonomy (BT) is widely used in educational institutions to produce high-quality exam papers to evaluate students’ knowledge at different cognitive levels.
Mohammed Osman Gani +3 more
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IEEE AccessThe proliferation of Information Technology (IT) has significantly accelerated the deployment of numerous services in different fields, including education. Assessing e-learning lecturers’ and students’ satisfaction has become essential for
Sulis Sandiwarno +4 more
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