[PDF] Top 20 Text Categorization Based on Bayesian Classification Approach using Class-Specific Features
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Text Categorization Based on Bayesian Classification Approach using Class-Specific Features
... This paper proposes a novel system called PPSGen to generate presentation slides from academic papers. We train a sentence scoring model based on SVR and use the ILP method to align and extract key phrases and ... See full document
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A New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier
... are based on meta-heuristic technique; their results can be different in different ...obtained based on computational ...more features, after finding a sub-optimal solution, the GA cannot find a ... See full document
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Text Categorization using Modified Classification Techniques
... for text classification is depicted in Fig ...input text documents ...language specific stop-word elimination [1] [2] [3] and stemming [2] ...the text (for example, „a‟, ‟the‟, ‟an‟, ... See full document
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Automatic Speech Segmentation and Recognition using Class Specific Features
... the classification problem is computationally expensive in practice [11], if the number of segments is ...approaches based on heuristics [12] and sequential estimation are proposed ... See full document
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Text Categorization as a Graph Classification Problem
... e. features that contribute to the classification decision, in particular gBoost (Saigo et ...mining features as many times as the number of classes instead of just once (one-vs-all learning ... See full document
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A Fully Bayesian Sparse Probit Model for Text Categorization
... Probit Bayesian Model (SPBM) to avoid over-fitting problem and obtain fully condition- al distributions for all ...multi-level Bayesian hierarchical model. Then, based on the Gibbs sampling algorithm ... See full document
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Efficient Text Categorization using Naïve Bayes Classification
... Bo Tang, Student Member, IEEE, Steven Kay, Fellow, IEEE, and Haibo He, Senior Member, IEEE: Feb 2016 , Proposed [1] Automated element determination is imperative for text arrangement to lessen highlight survey and ... See full document
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Classification of Web Pages Using Naive Bayesian Approach
... page classification based on a support vector machine(SVM) using a weighted vote ...Page Features Selection(WPFS) ...four text features from the web page ...performance ... See full document
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Text Categorization for Authorship based on the Features of Lingual Conceptual Expression
... The text categorization is an important field for the automatic text information ...a text can be treated as a special text ...expression based on the Hierarchical Network of ... See full document
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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 ... See full document
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Improving the Operation of Text Categorization Systems with Selecting Proper Features Based on PSO-LA
... the text feature selection methods only aim at auditing the relation and redundancy analysis from the class ...of text classification. During the text classification, words of ... See full document
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A Novel Fuzzy-Bayesian Classification Method for Automatic Text Categorization
... input text is the substitution of characters outside of the usual 26-letter English alphabet with a single ...the specific text, language, and several other factors (known as the ... See full document
7
Confidence-Weighted Linear Classification for Text Categorization
... constraint based on a distribution over classifier weights that is updated online as examples are ...natural-language classification tasks, where most of the informa- tive features are relatively ... See full document
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Approach for Dimensionality Reduction in Web Page Classification
... Naïve Bayesian technique is introduced by ...proposed approach for classification of web text is based on the concept of modified naïve Bayesian method, instead of taking each ... See full document
6
Survey on Classification Approach for Text Categorization
... of text documents with first and last partitions) suggest that segmenting the documents before estimating term weights helps in improving weighted average F-measure (based on macro- weighted ... See full document
5
Shape and Texture Features for the Identification of Breast Cancer
... grayscale using the lu- minosity ...7 features are then ex- tracted from the region of interest image such as standard deviation, mean, asymmetry, roundness, uniformity ... See full document
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An Effective Supervised Streamed Text Classification Approach for Mining Positive and Negative Examples
... concept drift is caused by changes in the user interests, and/or changes in data distribution. The task of information filtering [12][10] is to classify documents from a stream as either relevant or non-relevant ... See full document
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An Empirical Approach to Text Categorization Based on Term Weight Learning
... The characteristic of our approach is that the degree of con- text dependency is used in order t.o judge whether a word in a text is a true keyword or not.. \Ve applied our technique to [r] ... See full document
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Predicting the missing value in a knowledge based system using Bayesian classification technique
... When machine learning algorithms are applied to data collected from the huge amount of data in the universe, it is generally accepted that the data has not been consistently collected. The absence of expected data ... See full document
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Efficient Text Classification of Sentence Dataset using Bayesian Algorithm
... Text classification is the undertaking of naturally sorting an arrangement of archives into classifications from a predefined ...Content Classification is an information mining procedure used to ... See full document
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