text categorization
The Amalgamation of NLP with Text Categorization
... ABSTRACT: Text Mining (TM) and Natural Language Processing (NLP) are very closely related to each ...like Text Clustering, Text Summarizing, Text Categorizing, ...
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An intelligent system for automated arabic text categorization
... on-line text-newspaper articles, incoming (electronic) mail, technical reports, ...information. Text Categorization may be the solution for the increased need for advanced ...techniques. Text ...
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Automatic Text Categorization by Unsupervised Learning
... on-line text information has been considerably increased. As a result, text categorization has become one of the key techniques for handling and organizing text ...Automatic text ...
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Text Categorization using Feature Projections
... of text categorization is to classify documents into a certain number of pre-defined ...categories. Text categorization is an active research area in information retrieval and machine ...
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Latin Etymologies as Features on BNC Text Categorization
... on text categorization come from Machine Learning algorithms like Neural Networks, Support Vector Machines, Naïve Bayes, rule-based learners etc which have been proved to be successful in handling feature ...
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Text Categorization Using Soft Computing Method
... evaluating text categorization systems[2,3] are adapted from the evaluation of text Retrieval systems, an over view of these procedures will be given before we proceed to discuss the techniques for ...
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Learning Timeline Difference for Text Categorization
... Text categorization supports and improves several tasks such as creating digital libraries, informa- tion retrieval, and even helping users to interact with search engines (Mourao et ...the text ...
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Muli label Text Categorization with Hidden Components
... label text categorization method with hidden components, which employ PCA to capture the hidden components, and then incorporates these hidden components into a joint learning ...
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Regularizing Text Categorization with Clusters of Words
... in text that can be used to enhance the ef- fectiveness of the text categorization in a NLP con- ...of text data, and incorporate them in structured ...
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Survey on Text categorization in Online Social Networks
... data. Text classification is the task of automatically assign the texts into the predefined ...these text classification accomplished on the basis of endogenous collection of ...data. Text ...
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An Efficient Method for Automatic Text Categorization
... cited text categorization based on unorganized data with extracted information [4], text classification based on features [5], Text Categorization using PDDP with Support Vector ...
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An Intelligent System For Arabic Text Categorization
... Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their ...automatic text classifier by learning from a set of previously ...
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Confidence-Weighted Linear Classification for Text Categorization
... of text- categorization tasks show that our algorithms improve over other state-of-the-art online and batch methods, learn faster in the online setting, and lead to better classifier combination for a type ...
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Linguistic Structured Sparsity in Text Categorization
... In this paper, we show how linguistic informa- tion of various kinds—parse trees, thematic topics, and hierarchical word clusterings—can be used to construct group lasso variants that impose linguis- tic bias without ...
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Text Categorization as a Graph Classification Problem
... of text categorization finds applications in a wide variety of domains, from news filter- ing and document organization to opinion mining and spam ...classifying text in a timely ...
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Query Translation by Text Categorization
... a text categorizer, which maps queries into a set of predefined ...automatic text categorizer is tuned to perform a keyword as- signment task before being used to translate French queries into English MeSH ...
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ENHANCED TFIDF ALGORITHM FOR TEXT CATEGORIZATION
... Text categorization assigns predefined categories to natural language text according to its ...content. Text categorization has attracted more and more attention from researchers due to ...
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A Survey on Sentiment Based Text Categorization
... After data preprocessing the feature selection process is involved for recovering small but significant contents. These contents or features are help to identify the emotions of the author or mood of author for sentiment ...
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Scalable Term Selection for Text Categorization
... typical text categorization pro- cess usually involves these phases: document in- dexing, dimensionality reduction, classifier learn- ing, classification and ...for text representation (document ...
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Automatic Text Categorization using the Importance of Sentences
... for text categorization using two kinds of text summarization techniques; one uses the title and the other uses the importance of ...to text categorization techniques and testing the ...
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