prof.dr.

(Franciska) FMG de Jong

Profile

• All publications (39)

  • Article (10)

    • T. Paulus, J.C. Evers & F.M.G. de Jong (2018). Reflecting on the Future of QDA Software: Special Issue of The Qualitative Report. The Qualitative Report, 23 (13), 1-5. doi: 10.4135/9781412963909.n354 [go to publisher's site]
    • D. Nguyen, A.S. Doğruöz, C.P. Rosé & F.M.G. de Jong (2016). Computational sociolinguistics: A survey. Computational Linguistics, 42 (3), 537-593. doi: 10.1162/COLI_a_00258 [go to publisher's site]
    • M. Rauschenbach, S.I. Scagliola, S. Parmentier & F.M.G. de Jong (2016). The Perfect Data-Marriage: Transitional Justice Research and Oral History Life Stories. Transitional Justice Review, 1 (4), 7-58. doi: 10.5206/tjr.2016.1.4.2 [go to publisher's site]
    • A.C. Hogenboom, F. Frasincar, F.M.G. de Jong & U. Kaymak (2015). Polarity Classification Using Structure-Based Vector Representations of Text. Decision Support Systems, 74 (1), 46-56. doi: 10.1016/j.dss.2015.04.002
    • A.C. Hogenboom, F. Frasincar, F.M.G. de Jong & U. Kaymak (2015). Using Rhetorical Structure in Sentiment Analysis. Communications of the ACM, 58 (7), 69-77. doi: 10.1145/2699418
    • A.C. Hogenboom, D.M. Bal, F. Frasincar, M.A. Bal, F.M.G. de Jong & U. Kaymak (2015). Exploiting Emoticons in Polarity Classification of Text. Journal of Web Engineering, 14 (1-2), 22-40.
    • A.C. Hogenboom, B.M.W.T. Heerschop, F. Frasincar, U. Kaymak & F.M.G. de Jong (2014). Multi-Lingual Support for Lexicon-Based Sentiment Analysis Guided by Semantics. Decision Support Systems, 62 (1), 43-53. doi: 10.1016/j.dss.2014.03.004
    • A.C. Hogenboom, M.A. Bal, F. Frasincar, D.M. Bal, U. Kaymak & F.M.G. de Jong (2014). Lexicon-Based Sentiment Analysis by Mapping Conveyed Sentiment to Intended Sentiment. International Journal of Web Engineering and Technology, 9 (2), 125-147. doi: 10.1504/IJWET.2014.064768
    • K.P. Truong, G.J. Westerhof, S.M.A. Lamers & F.M.G. de Jong (2014). Towards modeling expressed emotions in oral history interviews: Using verbal and nonverbal signals to track personal narratives. Literary and Linguistic Computing, 29 (4), 621-636. doi: 10.1093/llc/fqu041 [go to publisher's site]
    • F.M.G. de Jong, D. Hiemstra, C. Hauff & E. Kraaij (2007). SIGIR's 30th Anniversary: An Analysis of Trends in IR Research and the Topology of its Community. ACM Sigir Forum (Information Retrieval), 41 (2), 18-24. doi: 10.1145/1328964.1328966

  • Part of book - Chapter (4)

    • K. Schouten, F. Frasincar & F.M.G. de Jong (2017). Ontology-Enhanced Aspect-Based Sentiment Analysis. In 17th International Conference on Web Engineering (ICWE 2017) (Lecture Notes in Computer Science, 0302-9743) (pp. 302-320). Switzerland: Springer doi: 10.1007/978-3-319-60131-1_17
    • S.I. Scagliola & F.M.G. de Jong (2014). Clio’s talkative daughter goes digital. In The Making of the Humanities, Volume III: The Modern Humanities (pp. 511-526). Amsterdam: Amsterdam University Press [go to publisher's site]
    • F.M.G. de Jong, A.J. van Hessen & S.I. Scagliola (2013). Der Einsatz von Sprachtechnologie in Oral-History-Sammlungen. In N. Apostolopoulos & C. Pagenstecher (Eds.), Erinnern an Zwangsarbeit: Zeitzeugen-Interviews in der digitalen Welt (pp. 179-187). Berlin: Metropol Verlag [go to publisher's site]
    • F.M.G. de Jong, A.J. van Hessen & S.I. Scagliola (2013). "Croatian Memories": eine Interviewsammlung mit personlichen Berichten uber Krieg und Traumata. In N. Apostolopoulos & C. Pagenstecher (Eds.), Erinnern an Zwangsarbeit: Zeitzeugen-Interviews in der digitalen Welt (pp. 217-220). Berlin: Metropol Verlag [go to publisher's site]

  • Article in volume (19)

    • K. Schouten, F. Frasincar & F.M.G. de Jong (2017). COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines. In 11th International Workshop on Semantic Evaluation (SemEval 2017) (pp. 883-887). ACM doi: 10.18653/v1/S17-2151
    • K.I.M. Schouten, F. Frasincar & F.M.G. de Jong (2016). COMMIT at SemEval-2016 Task 5: Sentiment Analysis with Rhetorical Structure Theory. In 10th International Workshop on Semantic Evaluation (SemEval 2016) (pp. 356-360). ACL
    • K.P. Truong, G.J. Westerhof, F.M.G. de Jong & D. Heylen (2014). An annotation scheme for sighs in spontaneous dialogue. In Proceedings of Interspeech 2014 (pp. 228-232). Singapore: ISCA
    • F.M.G. de Jong & A. Moniz (2014). Sentiment analysis and the impact of employee satisfaction on firm earnings. In 36th European Conference on IR Research, ECIR 2014 Vol. 8416. Lecture Notes in Computer Science (pp. 519-527). Amsterdam: Springer Verlag doi: 10.1007/978-3-319-06028-6_51
    • F.M.G. de Jong, A.J. van Hessen, T. Petrovic & S.I. Scagliola (2014). Croatian Memories : speech, meaning and emotions in a collection of interviews on experiences of war and trauma. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (pp. 3920-3926). Reykjavik: ELRA [go to publisher's site]
    • M.J. Kemman, S.I. Scagliola, F.M.G. de Jong & R. Ordelman (2014). Talking with Scholars: Developing a Research Environment for Oral History Collections. In Theory and Practice of Digital Libraries - TPDL 2013 Selected Workshops Vol. 416. Lecture Notes in Computer Science (pp. 197-201) doi: 10.1007/978-3-319-08425-1_22
    • F.P. Hogenboom, F. Frasincar, U. Kaymak & F.M.G. de Jong (2013). Lexico-semantic Patterns for Information Extraction from Text. In International Conference on Operations Research (OR 2013) (pp. 98)
    • A.C. Hogenboom, F. Frasincar, U. Kaymak & F.M.G. de Jong (2013). Exploiting Discourse Structure for Sentiment Analysis of Text. In International Conference on Operations Research (OR 2013) (pp. 99)
    • F.P. Hogenboom, F. Frasincar, J. Sangers, F.M.G. de Jong & U. Kaymak (2013). OULx: Event-Driven Ontology Updates. In The Interface for Dutch ICT-Research 2013 (ICT.OPEN 2013). Eindhoven, the Netherlands
    • F.M.G. de Jong, K.P. Truong, G.J. Westerhof, S.M.A. Lamers & A.M. Sools (2013). Emotional expression in oral history narratives: comparing results of automated verbal and nonverbal analyses. In Proceedings of the Workshop on Computational Models of Narrative (pp. 310-314). Hamburg, Germany doi: 10.4230/OASIcs.CMN.2013.310
    • A.C. Hogenboom, D.M. Bal, F. Frasincar, M.A. Bal, F.M.G. de Jong & U. Kaymak (2013). Exploiting Emoticons in Sentiment Analysis. In S.Y. Shin & J.C. Maldonado (Eds.), Twenty-Eighth Symposium on Applied Computing (SAC 2013) (pp. 703-710). ACM doi: 10.1145/2480362.2480498
    • F.P. Hogenboom, A.C. Hogenboom, F. Frasincar, F.M.G. de Jong & U. Kaymak (2012). Financial Event Detection Using Semantics. In The Interface for Dutch ICT-Research 2012 (ICT.OPEN 2012). Rotterdam, the Netherlands
    • F.M.G. de Jong, R.B.N. Aly, M. Kleppe, R.J.F. Ordelman & N. O'Connor (2012). Link Anchors in Images: Is there Truth? In Proceedings of the 12th Dutch Belgian Information Retrieval Workshop (pp. 1-4). Ghent, Belgium: University Ghent [go to publisher's site]
    • F.M.G. de Jong & R.J.F. Ordelman (2011). Distributed Access to Oral History collections: Fitting Access Technology to the needs of Collection Owners and Researchers. In Digital Humanities 2011: Conference Abstracts (pp. 347-349). Stanford: Stanford [go to publisher's site]
    • F.M.G. de Jong, R.J.F. Ordelman & S.I. Scagliola (2011). Audio-visual Collections and the User Needs of Scholars in the Humanities: a Case for Co-Development. In Proceedings of the 2nd Conference on Supporting Digital Humanities. Copenhagen: Centre for Language Technology [go to publisher's site]
    • F.P. Hogenboom, F. Frasincar, U. Kaymak & F.M.G. de Jong (2011). News Recommendations using CF-IDF. In P. de Causmaecker, J. Maervoet, T. Messelis, K. Verbeeck & T. Vermeulen (Eds.), Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011) (pp. 397-398). Gent, Belgium: Nevelland doi: 10.1145/1988688.1988701
    • F.P. Hogenboom, F. Frasincar, U. Kaymak & F.M.G. de Jong (2011). An Overview of Event Extraction from Text. In M. van Erp, W.R. van Hage, L. Hollink, A. Jameson & R. Troncy (Eds.), Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011) at Tenth International Semantic Web Conference (ISWC 2011) (pp. 48-57). CEUR-WS.org
    • B.M.W.T. Heerschop, F. Goossen, A.C. Hogenboom, F. Frasincar, U. Kaymak & F.M.G. de Jong (2011). Polarity Analysis of Texts using Discourse Structure. In Twentieth ACM Conference on Information and Knowledge Management (CIKM 2011) (pp. 1061-1070). Glasgow, United Kingdom: ACM doi: 10.1145/2063576.2063730
    • A.C. Hogenboom, F.P. Hogenboom, U. Kaymak, P. Wouters & F.M.G. de Jong (2010). Mining Economic Sentiment using Argumentation Structures. In J. Trujillo, D. Gillian, H. Kangassalo, S. Hartmann, M. Kirchberg, M. Rossi, I. Reinhartz-Berger, E. Zimányi & F. Frasincar (Eds.), Advances in Conceptual Modeling Applications and Challenges Vol. 6413. Lecture Notes in Computer Science (pp. 200-209). Vancouver, British Columbia, Canada: Springer doi: 10.1007/978-3-642-16385-2_25

  • Other output (2)

    • Scholarly Publication (1)

      • S.I. Scagliola, M. Kleppe, M.J. Kemman, R.J.F. Ordelman & F.M.G. de Jong (2014). AV in DH - Sound and (moving) images in focus. Digital Humanities 2014: Lausanne (2014, juli 8 - 2014, juli 8).

    • Other Publication (1)

      • M.J. Kemman, S.I. Scagliola & F.M.G. de Jong (2013). Talking With Scholars - Developing a Research Environment for Oral History Collections. The 2nd International Workshop on Supporting Users Exploration of Digital Libraries: Valletta (2013, september 26).

  • Supervised Theses (4)

    • Kim Schouten (2018, november 16). Semantics-Driven Aspect-Based Sentiment Analysis. EUR Prom./coprom.: prof.dr. F.M.G. de Jong, prof.dr.ir. R. Dekker & dr. F. Frasincar.
    • A.J. Moniz (2016, juni 16). Textual Analysis of Intangible Information. Erasmus University Rotterdam (Rotterdam: Erasmus Research Institute of Management (PhD Serie 393)) Prom./coprom.: prof.dr. C.B.M. van Riel, prof.dr. F.M.G. de Jong & dr. G.A.J.M. Berens.
    • A.C. Hogenboom (2015, november 13). Sentiment Analysis of Text Guided by Semantics and Structure. Erasmus University Rotterdam (196 pag.) (Rotterdam: Erasmus Research Institute of Management (PhD Serie 369)) Prom./coprom.: prof.dr.ir. U. Kaymak, prof.dr. F.M.G. de Jong & dr. F. Frasincar.
    • F.P. Hogenboom (2014, december 11). Automated detection of financial events in news text. Erasmus University Rotterdam (212 pag.) (Rotterdam: Erasmus Research Institute of Management (PhD Serie 326)) Prom./coprom.: prof.dr.ir. U. Kaymak, prof.dr. F.M.G. de Jong & dr. F. Frasincar.

• Ancillary activities (1)

  WizeNoze

  Start date approval

  Feb/2019

  End date approval

  Feb/2022

  Place

  AMSTERDAM

  Description

  Lid Raad van Advies

• Teaching (1)

  Comm. & Media Labour Market Orientation

  Title

  Comm. & Media Labour Market Orientation

  Year

  2020

  Year level

  BA-2

• Present position

  Full Professor

  University

  Erasmus University Rotterdam

  School

  Erasmus School of History, Culture and Communication

  Country

  The Netherlands

  Telephone

  0104081413