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Classification of text documents
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 1998Summary: The exponential growth of the internet has led to a great deal of interest in developing useful and efficient tools and software to assist users in searching the Web. Document retrieval, categorization, routing and filtering can all be formulated as classification problems.
Yonghong Li, Anil K. Jain 0001
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Proceedings of the 7th International Conference on Frontiers of Information Technology, 2009
This paper compares statistical techniques for text classification using Naive Bayes and Support Vector Machines, in context of Urdu language. A large corpus is used for training and testing purpose of the classifiers. However, those classifiers cannot directly interpret the raw dataset, so language specific preprocessing techniques are applied on it ...
Abbas Raza Ali, Maliha Ijaz
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This paper compares statistical techniques for text classification using Naive Bayes and Support Vector Machines, in context of Urdu language. A large corpus is used for training and testing purpose of the classifiers. However, those classifiers cannot directly interpret the raw dataset, so language specific preprocessing techniques are applied on it ...
Abbas Raza Ali, Maliha Ijaz
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Concatenate text embeddings for text classification
2017 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC), 2017Text embedding has gained a lot of interests in text classification area. This paper investigates the popular neural document embedding method Paragraph Vector as a source of evidence in document ranking. We focus on the effects of combining knowledge-based with knowledge-free document embeddings for text classification task.
Hamid Machhour, Ismail Kassou
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Text Generation for Imbalanced Text Classification
2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2019The problem of imbalanced data can be frequently found in the real-world data. It leads to the bias of classification models, that is, the models predict most samples as major classes which are often the negative class. In this research, text generation techniques were used to generate synthetic minority class samples to make the text dataset balanced.
Suphamongkol Akkaradamrongrat +2 more
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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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2007
Bilingual documentation has become a common phenomenon in official institutions and private companies. In this scenario, the categorization of bilingual text is a useful tool. In this paper, different approaches will be proposed to tackle this bilingual classification task.
Jorge Civera +2 more
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Bilingual documentation has become a common phenomenon in official institutions and private companies. In this scenario, the categorization of bilingual text is a useful tool. In this paper, different approaches will be proposed to tackle this bilingual classification task.
Jorge Civera +2 more
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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
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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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