Personalised Real-time Social Web Mining Framework
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The document proposes a personalised real-time social web mining framework with the following key points: 1) It introduces the large amount of rich social data available from various online social networking sites and news providers. 2) The framework aims to integrate social network data and real-time news to provide a valuable data delivery system for users. 3) The proposed solution has two modules - the first would collect and mine data from multiple social networks to generate keywords, while the second would fetch relevant news from providers based on those keywords and provide it to users for feedback.
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- 1. Major Project II Personalised Real-time Social Web Mining Framework
- 2. Introduction
- 3. Introduction ● Over the past decade a variety of online social networking sites have been established. ● These sites have a huge amount of rich data which can give a deeper insight than ever before into the social relationships across the globe. ● This data is present in the form of interest graphs or social graphs and these sites provide developers with native API to help access this data with ease
- 4. Introduction ● The most valuable commodity in today’s date is information and it’s relevance to a particular scenario. ● Alongwith the fast growth of online social networks, a large number of news providers have also gone online providing their users with real-time news across the globe. ● The idea of this project is to integrate these two fields to provide a valuable data delivery system.
- 5. Proposed Solution Module-I ● Collect the data from multiple online social networks ● Combine this data into one entity. ● Mine upon this data and generate relevant keywords
- 6. Proposed Solution Module-II ● Look up the world-wide-web for various news providers. ● Fetch relevant news and provide it to the user. ● Collect feedback from the user.
- 8. Thank You!