Main Reference Paper Knowledge-enhanced document embeddings for text classification, Expert Systems With Applications, 2018 [Java]
  • In text classification, the document collection is represented based on embedded representations of words and word senses. It proposes a two approaches to the semantic representation of document collections, NASARI+Babel2Vec and Babel2Vec, based on word sense disambiguation and embeddings of words and word senses.

Description
  • In text classification, the document collection is represented based on embedded representations of words and word senses. It proposes a two approaches to the semantic representation of document collections, NASARI+Babel2Vec and Babel2Vec, based on word sense disambiguation and embeddings of words and word senses.

  • To compare the performance of word embedding algorithms.

Aim & Objectives
  • To compare the performance of word embedding algorithms.

  • This work is extend to further analyze the multilingual aspect of our proposed representations, as well as the impact of word and word sense embeddings in text mining tasks.

Contribution
  • This work is extend to further analyze the multilingual aspect of our proposed representations, as well as the impact of word and word sense embeddings in text mining tasks.

  • 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.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit