Main Reference PaperDeep learning-based personality recognition from text posts of online social networks, Applied Intelligence, 2018 [Java/Python/R]
  • Automatic inference of the user’s personality is extracted from online social platforms. A deep leaning model AttCNN is proposed to learn personality recognition from text posts on online data. It extracts the semantic features of each user’s text posts and concatenates these features with the statistical linguistic features. Then, it trains to the traditional regression algorithms to predict the personality scores.

+ Description
  • Automatic inference of the user’s personality is extracted from online social platforms. A deep leaning model AttCNN is proposed to learn personality recognition from text posts on online data. It extracts the semantic features of each user’s text posts and concatenates these features with the statistical linguistic features. Then, it trains to the traditional regression algorithms to predict the personality scores.

  • To identify the user personality from user’s posts.

  • To improve the prediction accuracy.

+ Aim & Objectives
  • To identify the user personality from user’s posts.

  • To improve the prediction accuracy.

  • To improve the prediction accuracy, the extracted deep semantic features as the input of some special designed regression algorithms.

+ Contribution
  • To improve the prediction accuracy, the extracted deep semantic features as the input of some special designed regression algorithms.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • 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