Main Reference PaperIntelligent asset allocation via market sentiment views, IEEE Computational intelligence magazine, 2018 [Java/Python/R]
  • The proposed method attempts to compute the asset-level sentiment based time series of social media by utilizing the sentiment analysis and text mining methods and then combines it with the allocation technique. It exploits the Long Short-Term Memory (LSTM )and the ensembles of evolving clustering method to facilitate the validation of sentiment data towards the market view.

+ Description
  • The proposed method attempts to compute the asset-level sentiment based time series of social media by utilizing the sentiment analysis and text mining methods and then combines it with the allocation technique. It exploits the Long Short-Term Memory (LSTM )and the ensembles of evolving clustering method to facilitate the validation of sentiment data towards the market view.

  • To capture the market sentiments for the asset allocation

  • To enhance the accuracy

+ Aim & Objectives
  • To capture the market sentiments for the asset allocation

  • To enhance the accuracy

  • A technique contributed to the further improvement in the quality of the sentiment time series analysis

+ Contribution
  • A technique contributed to the further improvement in the quality of the sentiment time series analysis

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • 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.

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