[PDF] Top 20 Feature Selection and Reduction for Persian Text Classification
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Feature Selection and Reduction for Persian Text Classification
... automatic text classification have been extensively studied and rapid progress seems in this area, including the machine learning approaches such as Bayesian classifier, Decision Tree, K-nearest neighbor( ... See full document
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PSA: A Hybrid Feature Selection Approach for Persian Text Classification
... of text documents is increasing ...for text mining techniques, including automatic text classification, is ...automatic text classification, feature selection from ... See full document
12
Survey on Feature Selection and Dimensionality Reduction Techniques
... method. Initial projection vectors are used in ICA, using thee parameters, three more algorithms are developed for ICA- DR. This procedure is further classified into three subprocedures. ICA-DR1, is the first procedure ... See full document
5
Survey of Text Classification Technique and Compare Classifier
... pattern. Text mining is process to extract information from the unstructured ...data. Text classification is task of automatically sorting set of document into categories from predefined ...of ... See full document
5
Feature Selection for Short Text Classification using Wavelet Packet Transform
... short text using Wavelet packet trans- form called Improvised Adaptive Discriminant Wavelet Packet Transform ...sionality reduction by selecting discriminative features (wavelet coefficients) from the ... See full document
6
Survey on Feature Selection for Text Categorization
... in text categorization is the learning from high dimensional ...original feature space to few important words/feature preserving semantic meaning of original ...of feature space is called as ... See full document
6
SURVEY ON CLASSIFICATION OF FEATURE SELECTION STRATEGIES
... data. Feature selection is an important task in effective data ...the reduction or the selection of the feature of the given ...forward selection and optimized selection. ... See full document
9
WEIGHTING INDIVIDUAL OPTIMAL FEATURE SELECTION IN NAIVE BAYES FOR TEXT CLASSIFICATION
... features selection is ...of classification in text ...of feature reduction is to introduce those features that are ...One feature can act as multiple ...this feature can ... See full document
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Empirical Study on Filter based Feature Selection Methods for Text Classification
... of text mining is text classification which has variety of applications like detecting spam emails, topic categorization of news articles, sentiment analysis to name a few [1], [2], ...of text ... See full document
6
Feature Selection for Effective Text Classification using Semantic Information
... for feature transformation ...dimension reduction method for pattern recognition ...of text categorization through summarization, to reduce both the dimensionality and the time take to process the ... See full document
8
Modified Whale Optimization Algorithm For Feature Selection In Micro Array Cancer Dataset
... The classification of microarray data is based on binary approach, where the genes are classified into healthy and cancer-causing ones, while multiclass problems target to spate the genes with different types of ... See full document
8
1. Survey on the principal challenge of text mining
... unstructured text data. One of the main challenges is Dimensionality reduction, the dimensionality reduction is a process of reducing the number of random variables under consideration in a ... See full document
6
Text Classification using KNN with different Feature Selection Methods
... to text mining. The principle undertaking of text Analytics is to empower users to retrieve information and execute function like extraction, classification, summarization and language ...This ... See full document
10
An Extensive Empirical Study of Feature Selection Metrics for Text Classification
... Performance measures: A number of studies on feature selection, primarily those outside the text domain, have focused on accuracy. Accuracy and error rate can be weak indicators of performance when ... See full document
17
A feature selection method based on synonym merging in text classification system
... of text classification, some researchers start to propose a text classification system based on synonym merging to improve the accuracy of ...a text feature selection ... See full document
8
An Efficient Feature Selection Method for Arabic Text Classification
... efficient feature selection method based on Chi-square Statistics was ...existing feature selection methods according to its effect on classifying Arabic text ...and Feature ... See full document
6
Feature Selection as Causal Inference: Experiments with Text Classification
... every word in the vocabulary. Perhaps documents could instead be matched based on another met- ric, like cosine similarity. This would match docu- ments with similar context, which is what the PSM method appears to be ... See full document
10
A SURVEY ON RELEVANCE FEATURE SELECTION METHOD FOR TEXT CLASSIFICATION
... relevance feature in text documents is a big challenge because of large scale terms and data ...for text classification. Feature selection is the process of selecting a subset of ... See full document
5
Feature selection methods in Persian sentiment analysis
... sentiment classification we use vector model to represent the feature ...the feature space we extract n- gram features to deal with the conflicting problem of space and pseudo-space in Per- sian ... See full document
7
Optimized feature selection for tropical wood species recognition using genetic algorithm
... The work includes the use of grey level co-occurrence matrix (GLCM) technique and Gabor filters for extracting the texture features of the wood species and using multi-layer back propagation neural network (BPNN) for ... See full document
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