Amr attended the Executive Committee Meeting of the SUS-IT project (as a partner and Lincoln’s PI in the SUS-IT Project), in Loughborough earlier in June.
Leaders of workpackages represented progress and findings so far, in supporting elderly people, and the plan for the remaining part of the project.
Amr participated in the Write-UP workshop of the SUS-IT project consortium (which Amr is a partner in), on 17th and 18th May in Loughborough. Interesting to meet most of the partners, from all over the UK. Many discussions across the work-packages, especially with completion of the project (started in Jan 2009) expected ~mid next year.
Analyzing Patterns of Bloggers for Authorship Identification and Group Detection.
Haytham Mohtasseb, Amr Ahmed*, David Cobham
INTRODUCTION
Web 2.0 facilitates for individuals to easily generate contents. Blogs and online personal diaries are increasingly popular form of online user-generated contents (UGC).
That increasing volume of data need to be analysed and mined to benefit from it.
AIM
Analysing this unstructured and free-form text is important and useful in various applications including mood classification, identifying the identify and style of the author, detecting groups, suggesting friends, and targeting specific audiences (e.g. Marketing).
Building “User Profile” and “Group Profile”
User Profile: Using text analysis and Psycholinguistic categories to capture the writing style and patterns of each blogger.
Group Profile: Cluster bloggers together, based on their “User Profiles” to form groups of similar bloggers.
“Group Profile” Analysis
Automatic Semantic analysis and Psycholinguistic interpretation of commonality within detected groups (only from their written text).
Two-Layer Grouping and Authorship Identification
To an identify the author of a (anonymous) blog post, the system utilises the “Group Profiles” and “User Profiles”, respectively. First, the post is assigned to the relevant group (in Group Layer). Then, the post is attributed to a specific Author of that group (in the Author Layer).
CONCLUSION
Publications
This project develops a mobile phone for navigation.QR codes, read through the mobile camera, provides localised information on current position (especially in-door, where other navigation technologies are problematic).
This initial prototype is utilised initially for in-door and around the campus navigation. But futher functionalities (e.g. link with timetable, seminar rooms, other sevices) will be added provide PoI, planning, notifications (what is going on nearby), in addition to the navigation (with interactive maps).
It is envasaged to be flexable and can be adapted t other places like City Centre shopping, tourist guidance, and event like Christmas Market and the Air Show…..
For further details, please contact:
| Contact details | On the Web: |
| Dr Amr Ahmed School of Computer Science University of Lincoln Brayford Pool Lincoln LN6 7TS United Kingdom |
On Academia: http://ulincoln.academia.edu/AmrAhmed |
| On ResearchID: http://www.researcherid.com/rid/A-4585-2009 |
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| Email: aahmed@lincoln.ac.uk Tel.: +44 (0) 1522 837376 Fax.: +44(0) 1522 886974 |
My Web Pages: http://webpages.lincoln.ac.uk/AAhmed |
Amr was invited to visit Xidian University, by the Director of International Cooperation and Exchange.
Nice tour around the university and research labs.
Exhanged information on research interests and projects.
Discussion on potential collaboration.
Amr was invited for another visit (to be hosted by Xidian University) in the near future, for research presentation.
Nice present, and delicious dinner.
