A brief summary of my research.

1. An overview of recent research
Faculty of Science and Engineering
Dr. Georgios Paltoglou
Senior Lecturer in Computer Science
email: g.paltoglou@wlv.ac.uk
website: www.wlv.ac.uk/in0948
...or just google my name :-)
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 1 / 10

2. Main research areas
1 Research
Sentiment Analysis
Information Retrieval
Machine Learning
Summary
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 2 / 10

3. Research Sentiment Analysis
Sentiment Analysis
Definition
Discipline within Natural Language Processing, Computational
Linguistics, Machine Learning and Psychology
Aim: Design and implement algorithms and software that can
automatically detect and analyse opinions, sentiment and emotion
in written text
Who thinks/feels how about what?
Also known as “Opinion Mining”
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 3 / 10

4. Research Sentiment Analysis
Sentiment Analysis
Applications
Why? Manifold increase of social media content
Twitter: 1B tweets / week, 140M tweets / day (source)
Transforms unstructured textual communication into quantifiable,
informed estimations of sentiment
Useful for businesses for market intelligence, product
benchmarking, etc.
Focus on interdisciplinary research. Currently:
Coordinator of Yahoo! Faculty Research and Engagement Program
project
Domain-specific sentiment analysis web service
Co-Principal Investigator in ESRC proposal with Oxford Internet
Institute (OII)
Application of opinion mining for Public Opinion analysis
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 4 / 10

5. Research Information Retrieval
Information Retrieval
Definition
Aka, buidling search engines
Finding/filtering information that is relevant to users’ informational
need
Typically, unstructured/semi-structured content (e.g., text,
webpages, documents)
In contrast to Database Systems, where information is structured
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 5 / 10

6. Research Information Retrieval
Enterprise Search
Search combining multiple, heterogeneous, geographically
dispersed information systems
Data is distributed in databases, CMS, email, wikis, fileshares,
legacy IT systems, etc.
Enterprise Search can provide a single portal for searching and
accessing this information
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 6 / 10

7. Research Information Retrieval
Social Search
Search within Social Media (e.g., Twitter)
Ephemeral content
Freshness of content is important
Used for breaking news stories
Great potential with opinion mining: Opinion Retrieval
Filter social media and analyse its affective content
Session on 9th European Summer School in Information Retrieval
(ESSIR 2013)
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 7 / 10

8. Research Information Retrieval
Patent Search
Information Systems for Intellectual Property (IP) professionals
Helping IP professionals retrieve patents from WIPO, EPO
repositories
Most still use basic Boolean systems
Currently, dissemination chair of FP7 COST action
Mu.M.I.A.: Multilingual and Multifaceted Interactive Information
Access
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 8 / 10

9. Research Machine Learning
Machine Learning
Machine Learning (ML) is the science of getting computers to
learn from data, rather than being explicitly programmed
One of the most exciting advancements in Information Technology
in recent years
In my research, I am using ML for:
Sentiment Analysis (lately: CRFs, SVMs, Direct Optimization)
Information Retrieval (lately: Symbolic Regression)
Learning Analytics
Predicting students’ module performance at the beginning of the
semester
... the possibilities are endless!
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 9 / 10

10. Research Summary
Overview
Do you have a problem that could benefit from:
Text Analysis
Machine Learning
Social Media
Interesting?
Relevant?
come for a chat or drop me an e-mail
Georgios Paltoglou g.paltoglou@wlv.ac.uk www.wlv.ac.uk/in0948 10 / 10