International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Improved Decision Tree Classification (IDT) Algorithm For Social Media Data

  • Anu Sharma (Uttarakhand Technical University) ;
  • M.K Sharma (Amrapali institute) ;
  • R.K Dwivedi (Teerthanker Mahaveer University)
  • Received : 2024.06.05
  • Published : 2024.06.30
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Abstract

In this paper we used classification algorithms on social networking. We are proposing, a new classification algorithm called the improved Decision Tree (IDT). Our model provides better classification accuracy than the existing systems for classifying the social network data. Here we examined the performance of some familiar classification algorithms regarding their accuracy with our proposed algorithm. We used Support Vector Machines, Naïve Bayes, k-Nearest Neighbors, decision tree in our research and performed analyses on social media dataset. Matlab is used for performing experiments. The result shows that the proposed algorithm achieves the best results with an accuracy of 84.66%.

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References

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