Main Reference PaperMALTP: Parallel Prediction of Malicious Tweets, IEEE transactions on computational social systems, 2018 [Python]
  • The proposed MALicious Tweets in Parallel (MALTP) method intends to predict the malicious tweets. It converts the several tweets into tweet graph that incorporates the labeled edges. Then, it describes the features through the meta path. Afterward, the proposed method combines them to classify the tweets.

Description
  • The proposed MALicious Tweets in Parallel (MALTP) method intends to predict the malicious tweets. It converts the several tweets into tweet graph that incorporates the labeled edges. Then, it describes the features through the meta path. Afterward, the proposed method combines them to classify the tweets.

  • To forecast the malicious tweets

  • To acquire greater predictive accuracy

Aim & Objectives
  • To forecast the malicious tweets

  • To acquire greater predictive accuracy

  • A technique is contributed to overcoming the scalability issue

Contribution
  • A technique is contributed to overcoming the scalability issue

  • 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.

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