Results 21 to 30 of about 290,065 (293)
Data-driven Feature Selection Methods for Text Classification: an Empirical Evaluation [PDF]
Journal of Universal Computer Science, 2019 Dimensionality reduction is a crucial task in text classification. The most adopted strategy is feature selection using filter methods. This approach presents a difficulty in determining the best size for the final feature vector.
Rogerio C. P. Fragoso +2 more
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Frequent itemset-based feature selection and Rider Moth Search Algorithm for document clustering
Journal of King Saud University: Computer and Information Sciences, 2022 Document clustering has recently been paid great attention in retrieval, navigation, and summarization of huge volumes of documents. With a better document clustering approach, computers can organize a document corpus automatically to a meaningful ...
Madhulika Yarlagadda +2 more
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Feature Selection In Document Clustering Using Rough Set Theory [PDF]
Journal of the ACS Advances in Computer Science, 2007 One fundamental aspect of rough set theory is the search of subsets of attributes that provide the same information for classification purposes as the full set of attributes. In this paper, application of rough set theory to feature selection in document
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Digitization of management: automation of the selection and classification in an arbitrary verbal context [PDF]
E3S Web of Conferences, 2023 This article deals with an approach to extracting formal meaning in an arbitrary text document. According to the authors the formal semantic attribute (“semantic pattern”) will allow to solve the problems of automatic classification of verbal context ...
Meshkov Vladimir +2 more
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Individual Expert Selection and Ranking of Scientific Articles Using Document Length
Journal of ICT Research and Applications, 2019 Individual expert selection and ranking is a challenging research topic that has received a lot attention in recent years because of its importance related to referencing experts in particular domains and research fund allocation and management.
Fadly Akbar Saputra +2 more
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Sequential feature selection for classification [PDF]
, 2011 In most real-world information processing problems, data is not a free resource; its acquisition is rather time-consuming and/or expensive. We investigate how these two factors can be included in supervised classication tasks by deriving classication ...
Rückstieß, Thomas +5 more
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Firefly Algorithm based Feature Selection for Arabic Text Classification
Journal of King Saud University: Computer and Information Sciences, 2020 Due to the large number of documents available in the internet, emails and digital libraries, document classification is becoming a crucial task extremely required.
Souad Larabi Marie-Sainte, Nada Alalyani
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Multi-Document Neural Reading Comprehension Based on Bi-Directional Attention Mechanism [PDF]
Jisuanji gongcheng, 2020 Machine Reading Comprehension(MRC) is a question and answer task that automatically generates or extracts corresponding answers for a given text and specific questions.This task is of great significance to evaluating the understanding of computer systems
TANG Hongxuan, WU Kaili, ZHU Mengmeng, HONG Yu
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A Chinese text classification system based on Naive Bayes algorithm
MATEC Web of Conferences, 2016 In this paper, aiming at the characteristics of Chinese text classification, using the ICTCLAS(Chinese lexical analysis system of Chinese academy of sciences) for document segmentation, and for data cleaning and filtering the Stop words, using the ...
Cui Wei
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