Unsupervised decomposition of a multi-author document based on naive-Bayesian model

Keyphrases

• Naïve Bayesian Model 100%
• Document-oriented 100%
• Multi-author 100%
• State-of-the-art Techniques 50%
• Two-state 50%
• Unsupervised Method 50%
• Posterior Probability 50%
• Classification Process 50%

Computer Science

• Document Author 100%
• Bayesian Model 100%
• Naive Bayesian 100%
• Experimental Result 50%
• Classification Process 50%
• Unsupervised Method 50%
• Posterior Probability 50%