Feature selection by integrating document frequency with genetic algorithm for Amharic news document classification [PDF]
PeerJ Computer Science, 2022 Text classification is the process of categorizing documents based on their content into a predefined set of categories. Text classification algorithms typically represent documents as collections of words and it deals with a large number of features ...
Demeke Endalie +2 more
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Web Archiving as a Task of National and Local History Bibliography
Библиосфера, 2021 The foreign experience of forming the majority of national web archives (in national libraries) and many accessible local history archives of public and university libraries has been analyzed due to the development of a model and methodology for ...
N. M. Balatskaya, M. B. Martirosova
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From Integrating to Learning: Insights from Spanish L2 Multiple Documents Selection in Reading Tasks
Latin American Journal of Content and Language Integrated Learning, 2021 Previous literature has focused on investigating the use of sources in the classroom and how much they contribute to building a coherent mental representation of the texts.
Maha Soliman
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Users Behavior in Selecting Cited Bibliographies-A Case Study of National Taiwan University [PDF]
Journal of Library and Information Studies, 1999 This project analyzes the behavior of selecting cited bibliographies of collegeand graduate students in National Taiwan University when they are writing theirterm papers and graduate theses.
Mu-Hsuan Huang
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Ranked document selection [PDF]
Theoretical Computer Science, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Munro, J. Ian +3 more
openaire +4 more sources
Document features selection using background knowledge and word clustering technique [PDF]
Management Science Letters, 2014 By everyday development of storage and communicational and electronic media, there are significant amount of information being collected and stored in different forms such as electronic documents and document databases makes it difficult to process them,
Hajar Farahmand +2 more
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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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Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Sensors, 2020 Documents are stored in a digital form across several organizations. Printing this amount of data and placing it into folders instead of storing digitally is against the practical, economical, and ecological perspective.
Inzamam Mashood Nasir +6 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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Abstractive Multi-Document Summarization via Phrase Selection and Merging [PDF]
, 2015 We propose an abstraction-based multi-document summarization framework that can construct new sentences by exploring more fine-grained syntactic units than sentences, namely, noun/verb phrases.
Bing, Lidong +5 more
core +1 more source