Content Quality of Latent Dirichlet Allocation Summaries Constituted Using Unique Significant Words
Content Quality of Latent Dirichlet Allocation Summaries Constituted Using Unique Significant Words
Muthukkaruppan Annamalai,Amrah Mohd Narawi
2017 · DOI: 10.1007/978-981-10-7242-0_26
International Conference on Soft Computing in Data Science · 0 Citations
TLDR
It is hypothesised that duplicate words do not improve the content quality of summary, but for good reasons, the morphological variants do, and a unique LDA summary of significant topic words is constituted by removing the duplicate words, but retaining the distinctive Morphological variants.