Abstract: In this paper, a novel structure in light of Map-Reduce innovation is proposed for abridging huge content gathering. Report rundown gives an instrument to quicker comprehension the accumulation of content reports and has various genuine applications. Semantic similitude and bunching can be used proficiently to generate powerful outline of vast content accumulations. Outlining vast volume of content is a testing and tedious issue especially while considering the semantic comparability calculation in outline process. Synopsis of content accumulation includes serious content handling and calculations to produce the rundown. Map-Reduce is demonstrated condition of workmanship innovation for taking care of Big Data.. The proposed system is planned utilizing semantic comparability based grouping and subject displaying utilizing Latent Dirichlet Allocation (LDA) for outlining the huge content gathering over Map-Reduce system. The synopsis undertaking is performed in four stages and gives a secluded usage of numerous reports outline.
Keywords: Summarizing reviews, Text-based analysis.
Title: Summarizing and Re-Evaluating Users Reviews on Network
Author: Kavyashree B L, Prof. Nandhish A C
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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