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Class-specific deep feature weighting for Naïve Bayes text classifiers
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Feature weighting is used to alleviate the conditional independence assumption of Naïve Bayes text classifiers and consequently improve their generalization performance. Most traditional feature weighting algorithms use general feature...

Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers
2020 Edition, Volume 8, January 1, 2020 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Feature weighting is used to alleviate the conditional independence assumption of Naïive Bayes text classifiers and consequently improve their generalization performance. Most traditional feature weighting algorithms use general feature...

Naïve Bayes Text Classifier
2007 Edition, November 1, 2007 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Text classification algorithms, such SVM, and Naive Bayes, have been developed to build up search engines and construct spam email filters. As a simple yet powerful sample of Bayesian theorem, naive Bayes shows advantages in text classification yielding...

Integrating Incremental Feature Weighting into NaÏve Bayes Text Classifier
2007 Edition, Volume 2, August 1, 2007 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In the real-world operational environment, text classification systems should handle the problem of incomplete training set and no prior knowledge of feature space. In this regard, the most appropriate algorithm for operational text classification is the Naïve...

Using association features to enhance the performance of Naive Bayes text classifier
2003 Edition, January 1, 2003 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The co-occurrence of words can make contributions to automatic text classification. However, this information cannot be represented in the feature set when only using primitive features, and can only be partially represented when using n-grams as features. In this paper, we define a...

Hierarchical Scheme for Assigning Components in Multinomial Naive Bayes Text Classifier
2018 Edition, December 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Naive Bayes Classifier is an effective and easy method in general, and is used popularly in document classification. It's also a particularly useful classifier for large dataset. Naive Bayes assigns instances to a class label through...

Research and improvement for feature selection on naive bayes text classifier
2010 Edition, Volume 2, May 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

An effective feature selection is very important for an classifier. Improved feature selection method can enhance its classifier efficiency in the practical test validates. This paper studies the principle·, merits and limitations of the prevalent feature...

A lexicon pool augmented Naive Bayes Classifier for Nepali Text
2014 Edition, August 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents our experimental work on machine classification of Nepali texts. We have implemented a Naive Bayes classifier for the task and then augmented it through a multinomial lexicon pooling. The lexicon-pooled Naive Bayes...

Emotion Detection from Bangla Text Corpus Using Naïve Bayes Classifier
2019 Edition, December 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Emotions are an important part of everyday human interaction. Emotions can be expressed by means of written text, verbal speech or facial expressions. In recent years, the practice of expressing emotion in social media or blogs have increased rapidly. People write about their feelings and...

Comparing SVM and naïve Bayes classifiers for text categorization with Wikitology as knowledge enrichment
2011 Edition, December 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The activity of labeling of documents according to their content is known as text categorization. Many experiments have been carried out to enhance text categorization by adding background knowledge to the document using knowledge repositories like Word Net, Open Project Directory...

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