The Lao Text Classification Method Based on KNN
Zhuo Chen, Lan Zhou, Xuan Da Li, Jianan Zhang, Wen Huo
Abstract
Text categorization is a common application scenario in the NLP field, and has many applications in public opinion monitoring and news classification. At present, there are few classifications for Lao text, but classification-oriented methods are widely used in other languages. Faced with the situation, this paper proposes a KNN-based classification method of Lao news text. First of all, preprocessing and feature extraction of Lao news text, then adjusting the parameters through KNN classifier, finally processing in data normalization and data dimensionality reduction, thus improving the classification effect.
Topics & Concepts
Computer sciencePreprocessorNormalization (sociology)Artificial intelligenceText categorizationClassifier (UML)CategorizationData pre-processingDimensionality reductionDocument classificationFeature extractionNatural language processingPattern recognition (psychology)Data miningAnthropologySociologySentiment Analysis and Opinion MiningAdvanced Computational Techniques and ApplicationsAdvanced Sensor and Control Systems