Ali Hürriyetoğlu

Ali Hürriyetoğlu

PhD Student & Methodologist

About Me

As a researcher, I do research in Quantitative Social Research, Computational Linguistics and Artificial Intelligence. More specifically, I work on textual event information processing on social media, mainly on identifying relevant information, event information extraction, and time-to-event estimation.

Projects

Relevancer

Relevancer

Relevancer aims at finding a balance between complexity of a tweet data set and expert needs from this data. The clustering step identifies samples of the information groups that are present in the data set. The expert’s opinion is used to annotate selected clusters. As a result, the annotated clusters of tweets can be used as they are for further analysis and to build a classifier that can label remaining tweets, which were not included in the annotated clusters, and any other tweet set in light of the view of the expert.

Find out more

project name

SInfEx

SInfEx developed to extract information from social media. It contains mainly grammars to detect traffic domain in Dutch.

Find out more

Publications

Estimating the Time between Twitter Messages and Future Events

Ali Hürriyetoglu, Florian Kunneman, Antal van den Bosch.
Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval

Read the Full Paper

More on Google Scholar

Work Experience

PhD Student
Radboud University Nijmegen (Jul 2012 - Jun 2016)

Publicly available microblogging platforms such as twitter.com, identi.ca, rstat.us, etc. and traditional news media taken into account. Differences between the organization of the information between different sources will be analyzed and bridged (e.g. to connect micro blogs and news releases to the same event) in order to benefit from the available data as much as possible.

Intern
NetBase Solutions, Inc. (Aug 2015 - Jan 2016)

My work is on language analysis for sentiment analysis in Turkish on mainly social media data. I start the analysis by determining morphologic and syntactic structure of a message. In the following step, I identify sentiment bearing linguistic structures and assign their sentiment value.

Computational Linguist/Java Analyst Programmer Consultant
European Comission, Joint Research Centre (Jan 2012 - Jun 2012)

I worked as a consultant for a textual information extraction project as a freelancer. The task was to extracted border related events from news articles in Turkish.