Text Classification Using Naïve Bayes

2019
Natural Language Processing
Student
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Contents
Results..............................................................................................................................................2
Loading Training data into WEKA.............................................................................................2
Matrix Vector...............................................................................................................................3
Classification:..............................................................................................................................6
Naïve Bayes classification.......................................................................................................6
Support Vector Machine Classification...................................................................................8
Conclusion.....................................................................................................................................11
Bibliography..................................................................................................................................13

Results
Loading Training data into WEKA
The original datasets are in text formats so we convert the files into comma separated values
(.csv) using excel software to enable loading into WEKA after which they are converted into
Attribute-Relation File Format (.arff).
After opening the WEKA program, we import the training dataset through:
Click Explorer>>>>Open File>>>select file>>>>Open
Figure 1: Training dataset