Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Ali Hürriyetoglu

Ali Hürriyetoglu
Data Scientist, Statistics Netherlands

Website

Ali Hürriyetoglu is a data scientist at Statistics Netherlands and a PhD candidate at Radboud University, where his research focuses on the information extraction and social media analysis fields. He has a background in computer science. He has worked for a number of organizations, including EU JRC and Appen, in the language technologies area and recently completed a five-month traineeship at Netbase Solutions Inc. in Santa Clara, CA, where he focused on Turkish morphological analysis and sentiment analysis. Born to a family with Arabic origins in Turkey, Ali is fluent in Arabic, Turkish, English, German, Italian, and Dutch. He holds an undergraduate degree in computer engineering from Ege University in Izmir, Turkey, and a master’s degree in cognitive science at Middle East Technical University in Ankara, Turkey. During his undergraduate studies, he was an exchange student at Technische Hochschule Mittelhessen in Giessen, Germany.

Sessions

10:00–10:30 Tuesday, 23 May 2017
Relevancer: Finding and labeling relevant information in tweet collections
Data science and advanced analytics
 Location: London Suite 2/3
Level: Intermediate
Ali Hürriyetoglu (Statistics Netherlands), Nelleke Oostdijk (Radboud University)
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Identifying relevant tweets in tweet collections that are gathered via key words is a huge challenge. Ali Hürriyetoglu and Nelleke Oostdijk share the results of a study on using unsupervised and supervised machine learning with linguistic insight to enable people to identify relevant tweets for their needs and offer an overview of their tool, Relevancer. Read more.