Main Reference PaperWhat and With Whom? Identifying Topics in Twitter Through Both Interactions and Text, IEEE Transactions on Services Computing, April 2017 [Java]
  • Topic derivation method based on two-step matrix factorization process is proposed in which several semantic features of the tweets such as retweets, replies, people along with the content of the tweet are used.

+ Description
  • Topic derivation method based on two-step matrix factorization process is proposed in which several semantic features of the tweets such as retweets, replies, people along with the content of the tweet are used.

  • To derive topic from the tweets with data sparsity.

  • To assist in various tweet applications.

+ Aim & Objectives
  • To derive topic from the tweets with data sparsity.

  • To assist in various tweet applications.

  • Incorporating temporal features are considered in topic derivation.

+ Contribution
  • Incorporating temporal features are considered in topic derivation.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

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

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

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