IJACEE ABSTRACT
| Title | : | Select Small Set Of Reviews Using Micro-reviews |
| Authors | : | Dr.D.SATISHKUMAR, Mr.G.JEEVANANTHAM, Mrs.R.GNANAKUMARI, Mr.A.SIVAKUMAR, Mr. D. KALEESWARAN |
| Keywords | : | Micro-review, coverage, review selection |
| Issue Date | : | February 2020 |
| Abstract | : | As Reviews can be selected from small set of reviews. We perform reviews using the sentence with small contents. Given the proliferation of review content, and the fact that reviews are highly diverse and often unnecessarily verbose, users frequently face the problem of selecting the appropriate reviews to consume. Micro-reviews are emerging as a new type of online review content in the social media. Micro-reviews are posted by users of check-in services such as Foursquare. They are concise (up to 200 characters long) and highly focused, in contrast to the comprehensive and verbose reviews. In this paper, we propose a novel mining problem, which brings together these two disparate sources of review content. Specifically, we use coverage of micro-reviews as an objective for selecting a set of reviews that cover efficiently the salient aspects of an entity. Our approach consists of a two-step process: matching review sentences to micro-reviews, and selecting a small set of reviews |
| Page(s) | : | Pages : 1-6 |
| ISSN(Online) | : | 2455-0523 |
| Source | : | IJAET - Volume 6 Issue 2 |
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