Main Reference PaperAutomatic Question Tagging with Deep Neural Networks, IEEE transactions on learning technologies, 2018 [R]
  • The proposed position-based attention model and keywords-based model for automatic question tagging system extract the significant information from the questions through the deep learning technique. It captures the features based on the contextual data to improve the performance.

Description
  • The proposed position-based attention model and keywords-based model for automatic question tagging system extract the significant information from the questions through the deep learning technique. It captures the features based on the contextual data to improve the performance.

  • To tag the questions along with the knowledge units in an automatic manner

  • To extract the primary information about the questions

Aim & Objectives
  • To tag the questions along with the knowledge units in an automatic manner

  • To extract the primary information about the questions

  • The technique is improved further by exploring the relation between the keywords to enhance accuracy.

Contribution
  • The technique is improved further by exploring the relation between the keywords to enhance accuracy.

  • 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-project delivery Depending on the complexity of the project and requirements.

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

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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