Hassan Saif's profile document
Description for Hassan Saif
Hassan Saif
Hassan Saif
Hassan
Saif
Research Associate
Staano
Hassan Saif is a research associate at the Knowledge Media Institute. His research interests are in Sentiment Analysis, Machine Learning and Social Semantics.
Hassan has recently had a PhD degree at the Open University on semantic sentiment analysis of microblogs. He has extensive expertise in social media analysis and data mining, and has published in top semantic web conferences and journals.
Along his career in KMI, Hassan has been involved in several EU projects including, ROBUST and SENSE4US, where he developed various novel techniques of using Semantics in Sentiment Analysis.
Previously to joining KMi, Hassan worked as a research assistant at the University of Lincon, UK and as research engineer for NordicSense, Finland.
The Open University account for Hassan Saif
hs4589
Hassan Saif's membership at KMi
Hassan Saif on LinkedIn
Hassan Saif on SlideShare
@hrsaif (Hassan Saif on Twitter)
Hassan Saif's participation in Sense4Us
Sense4Us
Sense4Us
2013-10-01
2016-10-01
tools and techniques to enable policy makers to gather, integrate, and analyse policy-related discussions
The objective of the EU FP7 Sense4us project is to advance policy modelling and simulation, data analytics and social network discussion dynamics, providing economic and social benefits at all governmental levels across Europe. The project will provide tools enabling policy makers to find and select relevant information; link and homogenise the data; model policy in terms of constraints and intent; validate the policy; discover and incorporate views from NGOs and public; predict social impact of policy; provide decision support; and provide understandable visualisation.
Hassan Saif's participation in ROBUST
ROBUST
ROBUST
2010-11-01
2013-10-31
ROBUST aims to analyze, manage and care for online communities to support their well being & to measure their created value.
Online communities have emerged in all areas of society, and their use is now widespread in social, business, scientific and public service domains. They enable the community members to collaborate through shared ideas, knowledge and opinion. Thus, online communities generate major economic value to business and can form pivotal parts of corporate expertise management, corporate marketing, product support, customer relationship management, product innovation and targeted advertising.
The objective of ROBUST is to analyze, manage and care for online communities, in order support their well being, to provide access to the created values and to exploit the knowledge and information contained within. This requires the development of metrics, models and algorithms in several fields.
ROBUST is a 3 year, �6.8M EU project with a consortium of 10 partners from 6 countries. ROBUST is led by the University of Koblenz-Landau, and involves the companies of IBM, SAP, Polecat, Temis, and SoftwareMind, as well as the academic institutions of OU KMi, University of Southampton, National University of Ireland, and the Technical University of Berlin.