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Prashant Khare (Alumni) Member status icon

Research Associate
Prashant Khare Photograph

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I am a PhD student at KMi, Open University working under the supervision of Dr. Harith Alani and Dr. Miriam Fernandez. My interests are around mining and understanding what the users talk about over the social media in the context of their interests, situations, and feedback etc. The focus is on building up tools utilising the various Information Retrieval techniques enveloped by NLP and Machine Learning techniques, and also exploring the scope of leveraging the semantic web in order to generate knowledge out of a data which is voluminous and unstructured in nature.

Keys: data science, social media analysis, information retrieval, machine learning, behaviour analysis

Team: Harith Alani, , Miriam Fernandez, Lara Piccolo, Hassan Saif

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Publications

Publications | Visit External Site for Details  

Burel, G., Farrell, T., Mensio, M., Khare, P. and Alani, H. (2020) Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic, Proceedings of the 12th International Social Informatics Conference (SocInfo), Pisa, Italy

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Khare, P., Burel, G. and Alani, H. (2019) Relevancy Identification Across Languages and Crisis Types Relevancy Identification Across Languages and Crisis Types, 34, pp. 19-28

Publications | Visit External Site for Details  

Khare, P., Burel, G., Maynard, D. and Alani, H. (2018) Cross-Lingual Classification of Crisis Data, 17th International Semantic Web Conference, Monterey, CA (USA)

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Khare, P., Burel, G. and Alani, H. (2018) Classifying Crises-Information Relevancy with Semantics, Extended Semantic Web Conference (ESWC) 2018, Heraklion, Crete

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Khare, P., Fernandez, M. and Alani, H. (2017) Statistical Semantic Classification of Crisis Information, Workshop: 1st workshop of Hybrid Statistical Semantic Understanding and Emerging Semantics (HSSUES), 16th International Semantic Web Conference (ISWC) 2017

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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