DATA ANALYSIS – BETWEEN THEORY AND PRACTICE

In our paper we highlight some aspects of the text classification problem using the Naive Bayes Multinomial classifier. We use Weka software for modeling this problem and we study the conditions that allow the classifier to obtain the highest prediction.

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Bibliographic Details
Published inReview of the Air Force Academy Vol. 15; no. 2; pp. 85 - 92
Main Authors ENACHE-DAVID, Nicoleta, SANGEORZAN, Livia, STELEA, George-Alex
Format Journal Article
LanguageEnglish
Published Brasov Henri Coanda Air Force Academy 20.10.2017
Subjects
Bayesian analysis
Classification
Classifiers
Data analysis
Predictions
Theorems
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Summary:In our paper we highlight some aspects of the text classification problem using the Naive Bayes Multinomial classifier. We use Weka software for modeling this problem and we study the conditions that allow the classifier to obtain the highest prediction.
ISSN:1842-9238
2069-4733
DOI:10.19062/1842-9238.2017.15.2.11