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 Georgios Paltoglou

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Average citations per article22.35
Citation Count514
Publication count23
Publication years2007-2016
Available for download5
Average downloads per article1,115.60
Downloads (cumulative)5,578
Downloads (12 Months)628
Downloads (6 Weeks)50
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23 results found Export Results: bibtexendnoteacmrefcsv

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1
July 2016 Journal of the Association for Information Science and Technology: Volume 67 Issue 7, July 2016
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 0

The main focus of this article is to examine whether sentiment analysis can be successfully used for "event detection," that is, detecting significant events that occur in the world. Most solutions to this problem are typically based on increases or spikes in frequency of terms in social media. In our ...
Keywords: natural language processing, serendipity

2
July 2016 Journal of the Association for Information Science and Technology: Volume 67 Issue 7, July 2016
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 2

The main focus of this article is to examine whether sentiment analysis can be successfully used for "event detection," that is, detecting significant events that occur in the world. Most solutions to this problem are typically based on increases or spikes in frequency of terms in social media. In our ...
Keywords: natural language processing, serendipity

3
December 2015 Information Retrieval: Volume 18 Issue 6, December 2015
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

In this paper we present a method that can be used to attain specific objectives in a typical prior art search process. The objectives are first to assist patent searchers in understanding the underlying technical concepts of a patent by identifying relevant international patent classification (IPC) codes and second to ...
Keywords: Distributed information retrieval, IPC, IPC suggestion, Patent classification, Patent search

4
March 2013 CICLing'13: Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

Sentiment analysis programs are now sometimes used to detect patterns of sentiment use over time in online communication and to help automated systems interact better with users. Nevertheless, it seems that no previous published study has assessed whether the position of individual texts within on-going communication can be exploited to ...
Keywords: sentiment analysis, social web, opinion mining

5
March 2013 ECIR'13: Proceedings of the 35th European conference on Advances in Information Retrieval
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 3

In this work, we extend the Microblog dataset with subjectivity annotations. Our aim is twofold; first, we want to provide a high-quality, multiply-annotated gold standard of subjectivity annotations for the relevance assessments of the real-time adhoc task. Second, we randomly sample the rest of the dataset and annotate it for ...

6
January 2013 IEEE Transactions on Affective Computing: Volume 4 Issue 1, January 2013
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 2

Sentiment analysis is a growing field of research, driven by both commercial applications and academic interest. In this paper, we explore multiclass classification of diary-like blog posts for the sentiment dimensions of valence and arousal, where the aim of the task is to predict the level of valence and arousal ...
Keywords: Mood,Sentiment analysis,Data mining,Algorithm design and analysis,Predictive models,sentiment analysis,Mood,Sentiment analysis,Data mining,Algorithm design and analysis,Predictive models,affect detection,Mining methods and algorithms

7
January 2013 IEEE Transactions on Affective Computing: Volume 4 Issue 1, January 2013
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 2

Most sentiment analysis approaches deal with binary or ordinal prediction of affective states (e.g., positive versus negative) on review-related content from the perspective of the author. The present work focuses on predicting the emotional responses of online communication in nonreview social media on a real-valued scale on the two affective ...
Keywords: Human factors,Psychology,Sentiment analysis ,Predictive models,ANEW,Human factors,Psychology,Sentiment analysis,Predictive models,human annotation,Sentiment analysis,valence,arousal

8 published by ACM
September 2012 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 4, September 2012
Publisher: ACM
Bibliometrics:
Citation Count: 23
Downloads (6 Weeks): 30,   Downloads (12 Months): 378,   Downloads (Overall): 3,130

Full text available: PDFPDF
Sentiment analysis is a growing area of research with significant applications in both industry and academia. Most of the proposed solutions are centered around supervised, machine learning approaches and review-oriented datasets. In this article, we focus on the more common informal textual communication on the Web, such as online discussions, ...
Keywords: Opinion mining, social media, sentiment analysis

9
January 2012 Journal of the American Society for Information Science and Technology: Volume 63 Issue 1, January 2012
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 75

Sentiment analysis is concerned with the automatic extraction of sentiment-related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally ...

10
September 2011 EGVE - JVRC'11: Proceedings of the 17th Eurographics conference on Virtual Environments & Third Joint Virtual Reality
Publisher: Eurographics Association
Bibliometrics:
Citation Count: 4

The communication between avatar and agent has already been treated from different but specialized perspectives. In contrast, this paper gives a balanced view of every key architectural aspect: from text analysis to computer graphics, the chatting system and the emotional model. Non-verbal communication, such as facial expression, gaze, or head ...

11
February 2011 Journal of the American Society for Information Science and Technology: Volume 62 Issue 2, February 2011
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 75

The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events ...
Keywords: affect, weblogs, sentiment analysis, social networking, Twitter

12
January 2011 Information Processing and Management: an International Journal: Volume 47 Issue 1, January, 2011
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 4

In this paper, a new source selection algorithm for uncooperative distributed information retrieval environments is presented. The algorithm functions by modeling each information source as an integral, using the relevance score and the intra-collection position of its sampled documents in reference to a centralized sample index and selects the collections ...
Keywords: Distributed information retrieval, Source selection, Federated search

13
December 2010 Journal of the American Society for Information Science and Technology: Volume 61 Issue 12, December 2010
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 154

A huge number of informal messages are posted every day in social network sites, blogs, and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help ...
Keywords: data mining, machine learning, affect, informal communication, sentiment analysis

14
July 2010 ACL '10: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 46
Downloads (6 Weeks): 18,   Downloads (12 Months): 238,   Downloads (Overall): 1,819

Full text available: PDFPDF
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated feature weighting schemes from Information Retrieval can enhance classification accuracy. We show that variants of the classic tf.idf scheme adapted to sentiment analysis provide significant ...

15
July 2010 Information Sciences: an International Journal: Volume 180 Issue 14, July, 2010
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 5

We propose a new integral-based source selection algorithm for uncooperative distributed information retrieval environments. The algorithm functions by modeling each source as a plot, using the relevance score and the intra-collection position of its sampled documents in reference to a centralized sample index. Based on the above modeling, the algorithm ...
Keywords: Distributed information retrieval, Source selection, Federated search

16
June 2010 The Visual Computer: International Journal of Computer Graphics: Volume 26 Issue 6-8, June 2010
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 5

This paper presents a novel concept: a graphical representation of human emotion extracted from text sentences. The major contributions of this paper are the following. First, we present a pipeline that extracts, processes, and renders emotion of 3D virtual human (VH). The extraction of emotion is based on data mining ...
Keywords: Distribution functions, Psychology and sociology, Data mining, Facial animation, Text analysis

17
April 2009 ECIR '09: Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

Source selection deals with the problem of selecting the most appropriate information sources from the set of, usually non-intersecting, available document collections. On the other hand, data fusion techniques (also known as metasearch techniques) deal with the problem of aggregating the results from multiple, usually completely or partly intersecting, document ...
Keywords: Metasearch, Data Fusion, Federated Search, Distributed Information Retrieval, Source Selection

18 published by ACM
October 2008 iNEWS '08: Proceedings of the 2nd ACM workshop on Improving non english web searching
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 4,   Downloads (Overall): 109

Full text available: PDFPDF
Greek is one of the most difficult languages to handle in Web Information Retrieval (IR) related tasks. Its difficulty stems from the fact that it is grammatically, morphologically and orthographically more complex than the lingua franca of IR, English. In this paper, we address a significant number of issues that ...
Keywords: non-english retrieval, stemming, Greek, web searching

19 published by ACM
October 2008 LSDS-IR '08: Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 1,   Downloads (12 Months): 4,   Downloads (Overall): 183

Full text available: PDFPDF
In this paper, a new source selection algorithm for uncooperative distributed information retrieval environments is presented. The algorithm functions by modeling each information source as an integral, using the relevance score and the intra-collection position of its sampled documents in reference to a centralized sample index and selects the collections ...
Keywords: distributed information retrieval, federated search, source selection

20
August 2008 PCI '08: Proceedings of the 2008 Panhellenic Conference on Informatics
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Distributed Information Retrieval (DIR) has been suggested to offer a prospective solution to a number of issues concerning information retrieval in the WWW. On the other hand, previous studies have indicated that centralized approaches offer the best solution for optimal quality of result (i.e. effectiveness). In this paper, we revisit ...
Keywords: Distributed Information Retrieval, Federated Search



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