Main Reference PaperMining Competitors from Large Unstructured Datasets, IEEE Transactions on Knowledge and Data Engineering, May 2017 [python] .
  • A CMiner algorithm is proposed that addresses the problem of finding the top-k competitors of an item in any given market by computing all the segments in a given market based on mining large review datasets and it derives definition of competitiveness.

Description
  • A CMiner algorithm is proposed that addresses the problem of finding the top-k competitors of an item in any given market by computing all the segments in a given market based on mining large review datasets and it derives definition of competitiveness.

  • To evaluate competitiveness in large review datasets.

  • To evaluate the quality and the scalability of proposed approach .

Aim & Objectives
  • To evaluate competitiveness in large review datasets.

  • To evaluate the quality and the scalability of proposed approach .

  • Multiple context features are incorporated to improve the quality of proposed approach.

Contribution
  • Multiple context features are incorporated to improve the quality of proposed approach.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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