Topic based Summarization of Multiple Documents using Semantic Analysis and Clustering

Keyphrases

• Semantic Analysis 100%
• Topic-based 100%
• Multi-document Summarization 100%
• Multiple Documents 100%
• Semantic Clustering 100%
• Weight Vector 50%
• Dimensionality Reduction 50%
• Performance Improvement 50%
• Redundancy 50%
• Compact Form 50%
• State-of-the-art Techniques 50%
• Latent Dirichlet Allocation Model 50%
• Evaluation Metrics 50%
• Latent Semantic Analysis 50%
• Agglomerative Hierarchical Clustering 50%
• Semantic Similarity 50%
• Arts-based Methods 50%
• Summarization Technique 50%
• Document Summarization 50%
• Document Understanding Conference 50%
• Recall-oriented Understudy for Gisting Evaluation 50%

Computer Science

• Research Problem 100%
• Experimental Result 100%
• Performance Improvement 100%
• Latent Dirichlet Allocation 100%
• Evaluation Metric 100%
• semantic similarity measure 100%
• Hierarchical Clustering 100%