The International Arab Journal of Information Technology (IAJIT)


TempTracker: A Service Oriented Temporal Natural Language Processing Based Tool for

With the advent of Web 2.0 based technology, news sites and micro-blog sites have become popular and have attracted the attention of people around the world. Existing textual data captured by these sites is highly beneficial for extracting (a) new information to analyze, and (b) temporal course of change in entities, topics and sentiment for differing granularities. This has been demonstrated by the study described in this paper. After collecting the data, several directions have been investigated in order to demonstrate its effectiveness under the umbrella of entity extraction, topic and sentiment analysis using Natural Language Processing (NLP) tools, temporal social media analysis, and time varying trend results of entity and sentiment aspect of entities. A service-based architecture has been proposed to process text data with NLP tools and to enrich the data. Text data is collected and processed via NLP tools. It is retrieved upon request for data analysis. The reported results illustrate the applicability and effectiveness of the conducted study.

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[24] Wasserman S. and Faust K., Social Network Analysis: Methods and Applications, Cambridge University Press, 1994. Onur Can Sert received his BSc, MSc, and PhD degrees from the computer engineering department in TOBB University of Economics and Technology. His research interests are big data, natural language processing, machine learning and data mining. Sibel Tarıyan Özyer received her BSc and MSc from Cankaya University, and PhD degree from Atilim University. She is currently working at R&D Department of Rakun Informatıcs and R and D Inc. Her research interests are social networks, computer networks, internet of things and cloud computing. Deniz Beştepe received his BSc degree and pursuing his, MSc degree both at the computer engineering department in TOBB University of Economics and Technology. His research interests are web data analysis, machine learning, data mining and medical data analysis. Tansel Özyer is an associate professor of Computer Engineering at TOBB University of Economics and Technology, Turkey. He completed his PhD in Computer Science, University of Calgary. He received his MSc and BSc from Computer Engineering departments of METU and Bilkent University. Research interests are data mining, machine learning, bioinformatics, XML, mobile databases, and computer vision.