Open Access
Text classification using Naive Bayes: An experiment to conference paper
TLDR
The paper explains about the use of the basic naive Bayes algorithm to classify forum text me ssages into two classes namely clean and bad, which can reduce the decision time in the problem of document text classification for conference paper.Abstract:
The basic text classification technique in forum application has been discussed in Sainin (2005a) and Sainin (2005b).The paper explains about the use of the basic naive Bayes algorithm to classify forum text me
ssages into two classes namely clean and bad.
In the problem of document text classification for conference paper, various papers themes will normally be classified manually by the conference management.Once the classification of the papers is ready, the parallel sessions for presentation according to the themes will be scheduled. This process is time consuming and may classify papers into unrelated themes.Based on this situation, an automated text document classification can replace the manual classification; hence reduce the decision time.In this paper, the similar algorithm that was applied in the previous experiment for the forum messages classification will be discussed according to the experiment for conference paper classification.read more
Citations
More filters
Proceedings ArticleDOI
Using KNN algorithm for classification of textual documents
TL;DR: An approach for building a machine learning system in R that uses K-Nearest Neighbors (KNN) method for the classification of textual documents and challenges the KNN algorithm to find the proper value of k which represents the number of neighbors.
Journal ArticleDOI
Detecting and Classifying Crimes from Arabic Twitter Posts using Text Mining Techniques
Hissah AL-Saif,Hmood Al-Dossari +1 more
TL;DR: The proposed system aims to detect and classify crimes in Twitter posts that written in the Arabic language, one of the most widespread languages today, and indicates the superiority of SVM with tri-gram over other classifiers.
Proceedings ArticleDOI
Vietnamese news classification based on BoW with keywords extraction and neural network
Toan Pham Van,Ta Minh Thanh +1 more
TL;DR: Using a Vietnamese news corpus, some methods to solve Vietnamese news classification problems are proposed and the merit and demerit of each method are analyzed in order to find out the best one to solve the text classification in Vietnamese news.
Proceedings ArticleDOI
Real-Time Prediction of Employee Engagement Using Social Media and Text Mining
TL;DR: A model leveraging machine-learning techniques to analyze and predict employee engagement, using both user-generated social analytics and text content from organization-wide surveys, to calculate a real-time engagement level for employees is presented.
Proceedings ArticleDOI
An improved genetic algorithm for feature selection in the classification of Disaster-related Twitter messages
TL;DR: This study improved classifier's performance in the classification of natural crisis-related Twitter messages by reducing the number of selected features and in improving classification accuracy using Multinomial Naive Bayes.
References
More filters
Proceedings ArticleDOI
Using KNN algorithm for classification of textual documents
TL;DR: An approach for building a machine learning system in R that uses K-Nearest Neighbors (KNN) method for the classification of textual documents and challenges the KNN algorithm to find the proper value of k which represents the number of neighbors.
Journal ArticleDOI
Detecting and Classifying Crimes from Arabic Twitter Posts using Text Mining Techniques
Hissah AL-Saif,Hmood Al-Dossari +1 more
TL;DR: The proposed system aims to detect and classify crimes in Twitter posts that written in the Arabic language, one of the most widespread languages today, and indicates the superiority of SVM with tri-gram over other classifiers.
Proceedings ArticleDOI
Vietnamese news classification based on BoW with keywords extraction and neural network
Toan Pham Van,Ta Minh Thanh +1 more
TL;DR: Using a Vietnamese news corpus, some methods to solve Vietnamese news classification problems are proposed and the merit and demerit of each method are analyzed in order to find out the best one to solve the text classification in Vietnamese news.
Proceedings ArticleDOI
Real-Time Prediction of Employee Engagement Using Social Media and Text Mining
TL;DR: A model leveraging machine-learning techniques to analyze and predict employee engagement, using both user-generated social analytics and text content from organization-wide surveys, to calculate a real-time engagement level for employees is presented.
Proceedings ArticleDOI
An improved genetic algorithm for feature selection in the classification of Disaster-related Twitter messages
TL;DR: This study improved classifier's performance in the classification of natural crisis-related Twitter messages by reducing the number of selected features and in improving classification accuracy using Multinomial Naive Bayes.