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 Pınar Karagöz

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Average citations per article1.64
Citation Count54
Publication count33
Publication years2013-2017
Available for download9
Average downloads per article202.67
Downloads (cumulative)1,824
Downloads (12 Months)382
Downloads (6 Weeks)50
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35 results found Export Results: bibtexendnoteacmrefcsv

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1
June 2018 Information Retrieval: Volume 21 Issue 2-3, June 2018
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 1

A recent "third wave" of neural network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing. Because these modern NNs often comprise multiple interconnected layers, work in this area is often referred to as deep learning. Recent years have ...
Keywords: Deep learning, Distributed representation, Neural network, Recurrent neural network, Search engine, Semantic compositionality, Semantic matching, Word embedding

2 published by ACM
November 2017 MEDES '17: Proceedings of the 9th International Conference on Management of Digital EcoSystems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 33,   Downloads (Overall): 33

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The web provides a suitable media for users to post comments on different topics. In most of such content, authors express different opinions on different features or aspects of the topic. In aspect based sentiment analysis, it is analyzed as to for which aspect which opinion is expressed. Once aspects ...
Keywords: aspect, product review, sentiment analysis, sentiment polarity, implicit aspect

3
August 2017 Knowledge and Information Systems: Volume 52 Issue 2, August 2017
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 2

Detection of events using voluntarily generated content in microblogs has been the objective of numerous recent studies. One essential challenge tackled in these studies is estimating the locations of events. In this paper, we review the state-of-the-art location estimation techniques used in the localization of events detected in microblogs, particularly ...
Keywords: Event localization, Location estimation, Microblogs, Spatial analysis

4 published by ACM
April 2017 SAC '17: Proceedings of the Symposium on Applied Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 43,   Downloads (Overall): 56

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Detecting irony in texts attracts computer scientists' attention as a recent research problem. Automatic detection of irony on microblog texts, i.e., microposts, poses additional challenges. Microposts have limited number of characters, and generally include typing errors, therefore traditional methods of text mining cannot be applied easily. This study aims to ...
Keywords: irony detection, microposts, supervised learning

5
November 2016 IC3K 2016: Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Publisher: SCITEPRESS - Science and Technology Publications, Lda
Bibliometrics:
Citation Count: 0

The explosion in the use of social networks has generated a big amount of data including user opinions about varying subjects. For classifying the sentiment of user postings, many text-based techniques have been proposed in the literature. As a continuation of sentiment analysis, there are also studies on the emotion ...
Keywords: Social Networks, Collective Classification., Emotion Analysis, Sentiment Analysis

6
November 2016 Information Processing and Management: an International Journal: Volume 52 Issue 6, November 2016
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 0

We estimate locations of events detected in Twitter using Dempster-Shafer theory.Our method combines evidence from multiple tweet features using combination rules.Our method is applicable to any event type and does not require training.Comparisons were made with the Bayesian methods under different settings.Estimations are made for two levels of location granularity ...
Keywords: Evidential reasoning, location estimation, Event location, Microblogs, Dempster-Shafer theory

7
August 2016 Journal of Intelligent Information Systems: Volume 47 Issue 1, August 2016
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 1

There are many parameters that may affect the navigation behaviour of web users. Prediction of the potential next page that may be visited by the web user is important, since this information can be used for prefetching or personalization of the page for that user. One of the successful methods ...
Keywords: Concept set similarity, Ontology, Sequence alignment, Session similarity

8
May 2016 Knowledge and Information Systems: Volume 47 Issue 2, May 2016
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 4

The location-based social networks (LBSN) enable users to check in their current location and share it with other users. The accumulated check-in data can be employed for the benefit of users by providing personalized recommendations. In this paper, we propose a context-aware location recommendation system for LBSNs using a random ...
Keywords: Location-based social networks, Context-aware recommendation, Random walk, Location recommendation

9
April 2016 WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 7,   Downloads (12 Months): 78,   Downloads (Overall): 285

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The location-based social networks (LBSN) facilitate users to check-in their current location and share it with other users. The accumulated check-in data can be employed for the benefit of users by providing personalized recommendations. In this paper, we propose a random walk based context-aware friend recommendation algorithm (RWCFR). RWCFR considers ...
Keywords: friend recommendation, location-based social networks, random walk

10 published by ACM
April 2016 SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 6,   Downloads (12 Months): 21,   Downloads (Overall): 86

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Location-based social network as one of the platforms in this field has been providing services and facilities to enhance user experience to explore their surroundings and new places. Among current services, point of interest (POI) recommendation and activity recommendation draws significant attention of users, which makes it a potential field ...
Keywords: activity correlations, time-aware activity recommendation, user-based collaborative filtering

11
April 2016 Journal of Information Science: Volume 42 Issue 2, 4 2016
Publisher: Sage Publications, Inc.
Bibliometrics:
Citation Count: 2

Extracting patterns from web usage data helps to facilitate better web personalization and web structure readjustment. The classical frequency-based sequence mining techniques consider only the binary occurrences of web pages in sessions that result in the extraction of many patterns that are not informative for users. To handle this problem, ...
Keywords: web usage mining, web access pattern, User-defined pattern scoring, WaPUPS, web access sequence

12
February 2016 Journal of Intelligent Information Systems: Volume 46 Issue 1, February 2016
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

Inductive Programming Logic (ILP)-based concept discovery systems aim to find patterns that describe a target relation in terms of other relations provided as background knowledge. Such systems usually work within first order logic framework, build large search spaces, and have long running times. Memoization has widely been incorporated in concept ...
Keywords: Memoization, Concept discovery, Inductive logic programming, Memory consumption, Multi-relational data mining, Scalability

13
November 2015 ICDMW '15: Proceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Prominence of social media such as Twitter and Facebook led to a huge collection of data over which event detection provides useful results. An important dimension of event detection is location estimation for detected events. Social media provides a variety of clues for location, such as geographical annotation from smart ...

14
October 2015 IEEE Transactions on Knowledge and Data Engineering: Volume 27 Issue 10, October 2015
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 3

High utility sequential pattern mining has been considered as an important research problem and a number of relevant algorithms have been proposed for this topic. The main challenge of high utility sequential pattern mining is that, the search space is large and the efficiency of the solutions is directly affected ...

15
September 2015 DARE'15: Proceedings of the Third International Conference on Data Analytics for Renewable Energy Integration
Publisher: Springer
Bibliometrics:
Citation Count: 0

Efficient integration of renewable energy sources into the electricity grid has become one of the challenging problems in recent years. This issue is more critical especially for unstable energy sources such as wind. The focus of this work is the performance analysis of several alternative wind forecast combination models in ...
Keywords: decision tree, wind power forecasting, k-nearest neighbor, association rule mining

16
September 2015 Revised Selected Papers of the Third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration - Volume 9518
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Efficient integration of renewable energy sources into the electricity grid has become one of the challenging problems in recent years. This issue is more critical especially for unstable energy sources such as wind. The focus of this work is the performance analysis of several alternative wind forecast combination models in ...
Keywords: Wind power forecasting, Association rule mining, Decision tree, k-nearest neighbor

17
September 2015 MUSE'15: Proceedings of the 6th International Conference on Mining Ubiquitous and Social Environments - Volume 1521
Publisher: CEUR-WS.org
Bibliometrics:
Citation Count: 0

With the extensive amount of textual data flowing through social media platforms, the interest in Information Extraction (IE) on such textual data has increased. Named Entity Recognition (NER) is one of the basic problems of IE. State-of-the-art solutions for NER face an adaptation problem to informal texts from social media ...
Keywords: word embeding, NER, social media, NLP from scratch

18
September 2015 Knowledge and Information Systems: Volume 44 Issue 3, September 2015
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 1

With the increasing availability of location-based services, location-based social networks and smart phones, standard rating schema of recommender systems that involve user and item dimensions is extended to three-dimensional (3-D) schema involving context information. Although there are models proposed for dealing with data in this form, the problem of combining ...
Keywords: Extended feature combination, Higher-order singular value decomposition (HOSVD), Tensor, Feature combination, Recommendation, Singular value decomposition (SVD), Location-based social networks (LBSN)

19
June 2015 Proceedings of the 28th International Conference on Current Approaches in Applied Artificial Intelligence - Volume 9101
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Even though process-awareinformation systems are intensively utilized in the organizations, traditional process management paradigms majorly concentrate on the design and configuration phases. Instead of starting with a process design, process mining attempts to discover interesting patterns from process enactment namely event logs and extract business processes by distilling these event ...
Keywords: Sequence alignment, Confidence metric, Process mining, Needleman-Wunsch algorithm with dynamic pay-off matrix, Process diagnostics

20
December 2014 BDCLOUD '14: Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

As the usage of social networks grows day by day, a single person can reach hundreds or thousands of people in a minute. Micro blogging is the new era of social communication, which can be used anywhere thanks to mobile phones. People spend hours and use social networks extensively, expressing ...
Keywords: microblogs, keyword, extraction, user, profiling



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