Capture User Interest from Social Media using Semantic Web
Today more than 3 billion people are using social media and using it as a medium to express their real feelings which makes different social media platform like Facebook, Twitter etc. an ideal source for capturing interest of users. Obviously, data mined from social media alone cannot be used to achieve target i.e. predict user's Interest, it needs some form of supervision.
Our talk propose how Semantic web a.k.a Knowledge bases add supervision into system and can prove helpful to predict user's Interest given social media data. Once, User's Interest is captured, it can be widely used for many purposes like Recommendation system, campaigning, analytics over user interests etc.
Keywords: Knowledge systems, linked data, OpenIE, NLP, Semantic Web, User Interest, SPARQL.
Outline/Structure of the Talk
- Problem Definition
- Proposed Solution
- Candidate will get understanding of Semantic Web/ Knowledge bases (DBpedia) / Linked data
- How we can make benefit of free text
- How to capture user Interest from user's social media posts
- Concepts related to Semantic Web like RDF, SPARQL
Data Scientists, Data Engineers, Data Science Enthusiasts, NLP Engineer
Prerequisites for Attendees
- Interest in Information Retrieval Techniques, NLP
- Excited to understand how OpenIE can address real time big problems
- Have used any Social Media platform (Twitter, Facebook)
schedule Submitted 2 months ago
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