Text classification
Towards Multi Label Text Classification through Label Propagation
... classification, classification of news articles, information retrieval ...text classification. But as it needs labeled data for classification all the time, semi supervised methods are ...
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A Two Step Data Mining Approach for Amharic Text Classification
... of text data that can serve as unlabeled data for many classification ...this text is often cheap since web spiders and crawlers can be programmed to automatically do this ...Amharic text ...
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Exploring Long-range Correlations for Text Classification Using a Sparse Distributed Memory
... In summary, the results show that the SDM is able to grasp high-level semantic information from raw data in- put. There may be ways to improve the accuracy of the process, for example trying different methods of encoding ...
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Research on manufacturing text classification based on improved genetic algorithm
... out classification retrieval and management of such large of manufacturing resources information on internet is always a hot area of research ...[3]. Text classification is normally expressed through ...
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Clustering Analysis within Text Classification Techniques
... Spatial representation, the technique used for correlating points in a set of features, can be used in the process of text classification for an increasing in performance. The principal questions that this ...
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Effective learning experience using text classification
... learning. Text analytics software’s could be of significant use as they transpose words and phrases in unstructured data into numerical values which can then be linked with structured data stored in a ...these ...
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An Improved Model of Relevance Feature Discovery for Text Classification
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SUPERVISED LEARNING METHODS FOR BANGLA WEB DOCUMENT CATEGORIZATION
... Bangla text classification is indispensable issue, as Bangla is a rich language with lot of diversity as well as Bangla based electronic documents both in online and offline have been emerged very ...their ...
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An Improved k-Nearest Neighbor Classification Using Genetic Algorithm
... and classification techniques introduced by Fix and Hodges [1], which has been proved to be a simple and powerful recognition ...KNN text classification has three limitations [4]: ...
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MULTI-LABEL CLASSIFICATION OF PRODUCT REVIEWS USING STRUCTURED SVM
... applications, text data has become one of the important information sources in real world ...scenario, text classification plays an important role in organizing the text documents into ...
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JISTEM J.Inf.Syst. Technol. Manag. vol.11 número2
... automatic text classification and clustering have been using a deterministic classification (each document inside only one group), a more realistic classification should permit a document to ...
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Extracting speech text from comics
... There was once a time that, if we wanted to read a comic book, we would have to purchase the paper book. Nowadays, with the information era transforming our ways of living, the world is becoming increasingly digital and ...
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Classification of foundry clients using business rules approach
... The aim of this paper was to present a possible application of a rule-based approach in clients’ classification. The proposed engine operates in accordance with general BRM idea but at t he same time includes ...
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Odd-Even Based Cryptography
... plain text is always changed to the same character in the cipher text regardless of its position in the ...plain text number to get the cipher text number while decryption is subtracting the ...
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EXTRACELLULAR VESICLES: CLASSIFICATION, FUNCTIONS AND CLINICAL RELEVANCE
... Classification. Due to a wide diversity of research field disciplines and different classification principles the common solution for cellular vesicles classification is still not obtained [2]. ...
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A NOVEL MULTIDICTIONARY BASED TEXT COMPRESSION
... of text transformation using Multidictionary based ...input text is replaced by variable length codes, the size of input text can be reduced by using Multidictionary based ...
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Hybrid Method for Tagging Arabic Text
... A memory-based learning system contains two components: i) a learning component which is memory storage is done without abstraction or restructuration. ii) a performance component that does similarity-based ...
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O cânone e a dissolução do cânone. A intertextualidade tipológica – um recurso estilístico “pós-moderno”?
... This work will investigate the more and more frequently observed phenomenon of boundary transgressions that one can find in the world of non-literary and literary texts in forms that utilize typological intertextuality. ...
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Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: investigating the push-down stack model
... The participant reports were, in our experience, typical for AGL experiments. As we informed the participants about the presence of a grammar before the grammaticality clas- sification test, it was not surprising that ...
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Operation on text entities
... The Text Entity Quality Evaluation – Theory and Practice, ASE Printing House, Bucharest, 2005 [IVAM05], Ion IVAN, Daniel MILODIN, Marius POPA – The Alphabet Orthogonality, in „Revista Român de Informatic şi Auto- ...
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