The Lao Text Classification Method Based on KNN

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.

• Publication year

  2020

• Venue

  Procedia Computer Science

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/j.procs.2020.02.053
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• No references are available for this paper.

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