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INFORMATION RETRIEVAL TOPICS IN TWITTER USING WEIGHTED PREDICTION NETWORK

Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.8, No. 1)

Publication Date:

Authors : ;

Page : 781-788

Keywords : Social Networking; Topic Analysis; Data Mining Using Prediction Network; Tags; Trends; Information Extraction;

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Abstract

Social networking site is a platform to share valuable information with friend, colleague or others. These social networking sites store data various format as the nature of data is heterogeneous. This data or information can be effectively utilized to improve the experience of user. To do this intensive analysis of data available at social networking site is necessary. As this data, can be well interpreted in the form of a graph, so with the help of graph various valuable resources could be connected to derive or conclude the information. This is the intent behind the experiment performed to design weighted social networking prediction network. This network helps to find the tweets regarding the respective trend by providing the weightage. The data displayed is displayed according to the descending order of this weightage.

Last modified: 2017-02-21 14:40:00