Data Mining Information System

Abstract

Decision making between couple of things gone turn out critical for human thinking ability. Though, it is not always simple to recognize what to evaluate and what are the alternatives. To tackle this complexity, we explored a novel way to robotically mine equivalent entities from comparative questions that Users posted online. To make sure high accuracy, we created a weakly-Supervised bootstrapping method for Comparable question detection and comparable entity mining by leveraging a huge online questions archive. The investigational consequences explain our method gets eighty plus percentage of both F1-measures in comparative question detection and in comparable entity extraction. Both considerably do better than an previous state-of-the-art method.

Authors and Affiliations

Divya C D, Bharath T S

Keywords

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  • EP ID EP21554
  • DOI -
  • Views 314
  • Downloads 4

How To Cite

Divya C D, Bharath T S (2016). Data Mining Information System. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(1), -. https://europub.co.uk/articles/-A-21554