Results 231 to 240 of about 1,767,419 (268)
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2017
In this chapter, a supervised automatic text documents classification using the fuzzy decision trees technique is proposed. Whatever the algorithm used in the fuzzy decision trees, there must be a criterion for the choice of discriminating attribute at the nodes to partition.
Ben Elfadhl Mohamed Ahmed +1 more
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In this chapter, a supervised automatic text documents classification using the fuzzy decision trees technique is proposed. Whatever the algorithm used in the fuzzy decision trees, there must be a criterion for the choice of discriminating attribute at the nodes to partition.
Ben Elfadhl Mohamed Ahmed +1 more
openaire +2 more sources
Feature selection in text classification
2016 24th Signal Processing and Communication Application Conference (SIU), 2016In recent years, text classification have been widely used. Dimension of text data has increased more and more. Working of almost all classification algorithms is directly related to dimension. In high dimension data set, working of classification algorithms both takes time and occurs over fitting problem.
Durmus Ozkan Sahin +2 more
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Multidimensional Text Warehousing for Automated Text Classification
Journal of Information Technology Research, 2018This article describes how, in the era of big data, a data warehouse is an integrated multidimensional database that provides the basis for the decision making required to establish crucial business strategies. Efficient, effective analysis requires a data organization system that integrates and manages data of various dimensions. However, conventional
Jiyun Kim, Han-joon Kim
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User Interface for Text and Non-Text Classification
2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019In this paper, we propose a user interface for text and non-text classification. The user interface helps a user revise incorrect classification results without rewriting. The user interface automatically switch between writing mode and revising mode without any interruption, which makes a better interaction between the user and the system.
Thanh Thi Xuan Lam +2 more
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Classification of crowdsourced text correction
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015Optical Character Recognition (OCR) is a commonly used technique for digitizing printed material enabling them to be displayed online, searched and used in text mining applications. The text generated from OCR devices is often garbled due to variations in quality of the input paper, size and style of the font and column layout.
Megha Gupta +2 more
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Text Classification with Document Embeddings
2014Distributed representations have gained a lot of interests in natural language processing community. In this paper, we propose a method to learn document embedding with neural network architecture for text classification task. In our architecture, each document can be represented as a fine-grained representation of different meanings so that the ...
Chaochao Huang +2 more
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Deep Learning--based Text Classification
ACM Computing Surveys, 2022Shervin Minaee, Erik Cambria
exaly
Contrastive learning with text augmentation for text classification
Applied Intelligence, 2023Ouyang Jia +4 more
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