Ravi Vatrapu

  1. 2017
  2. Published

    Straton, Nadiya; Mukkamala, Raghava Rao; Vatrapu, Ravi / Big Social Data Analytics for Public Health : Predicting Facebook Post Performance Using Artificial Neural Networks and Deep Learning.

    2017. Paper presented at 6th IEEE International Congress on Big Data, Honolulu, United States.

    Publication: Research - peer-reviewPaper

  3. Published

    Lasrado, Lester Allan ; Vatrapu, Ravi; Mukkamala, Raghava Rao / Whose Maturity is it Anyway? : The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models.

    ECIS 2017 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2017. p. 2918-2927 (Proceedings / European Conference on Information Systems (ECIS), Vol. 2017).

    Publication: Research - peer-reviewArticle in proceedings

  4. Published

    Komtesse af Rosenborg, Desiree Christina; Buhl-Andersen, Ida; Nilsson, Line Bygvrå; Rebild, Mark Philip; Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi / Buzz vs. Sales : Big Social Data Analytics of Style Icon Campaigns and Fashion Designer Collaborations on H&M’s Facebook Page.

    Proceedings of the Hawaii International Conference on System Sciences. Los Alamitos, CA : IEEE, 2017. p. 1861-1870.

    Publication: Research - peer-reviewArticle in proceedings

  5. Published

    Buus Lassen, Niels; la Cour, Lisbeth; Milhøj, Anders; Vatrapu, Ravi / Social Media Data as Predictors of Mikkeller Sales?

    Symposium i anvendt statistik: 23.-24. januar 2017. ed. / Peter Linde. København : Danmarks Statistik, 2017. p. 71-86.

    Publication: Research - peer-reviewArticle in proceedings

  6. Published

    Kinra, Aseem; Mukkamala, Raghava Rao; Vatrapu, Ravi / Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments.

    Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany. ed. / Michael Freitag; Herbert Kotzab; Jürgen Pannek. Cham : Springer, 2017. p. 119-129 (Lecture Notes in Logistics).

    Publication: Research - peer-reviewBook chapter

  7. Published

    Buus Lassen, Niels; la Cour, Lisbeth; Vatrapu, Ravi / Predictive Analytics with Social Media Data.

    The SAGE Handbook of Social Media Research Methods. ed. / Luke Sloan; Anabel Quan-Haase. London : Sage Publications, Incorporated, 2017. p. 328-341.

    Publication: Research - peer-reviewBook chapter

  8. Published

    Mejia, Carolina; Florian-Gaviria, Beatriz; Vatrapu, Ravi; Bull, Susan; Gómez, Sergio Manuel Madero; Fabregat, Ramon / A Novel Web-based Approach for Visualization and Inspection of Reading Difficulties on University Students.

    In: IEEE Transactions on Learning Technologies, Vol. 10, No. 1, 2017, p. 53-67.

    Publication: Research - peer-reviewJournal article

  9. Published
  10. 2016
  11. Published

    Reimann, Peter; Bull, Susan; Kickmeier-Rust, Michael; Vatrapu, Ravi; Wasson, Barbara / Preface.

    Measuring And Visualizing Learning In The Information-Rich Classroom. ed. / Peter Reimann; Susan Bull; Michael Kickmeier-Rust; Ravi Vatrapu; Barbara Wasson. Abingdon : Routledge, 2016. p. vii-viii.

    Publication: Research - peer-reviewPreface/postscript

  12. Published

    Zimmerman, Chris; Stein, Mari-Klara; Hardt, Daniel; Danielsen, Christian de Fries; Vatrapu, Ravi / emotionVis : Designing an Emotion Text Inference Tool for Visual Analytics.

    Tackling Society’s Grand Challenges with Design Science: Proceedings of the 11th International Conference, DESRIST 2016. ed. / Jeffrey Parsons; Tuure Tuunanen; John Venable; Brian Donnellan; Markus Helfert; Jim Kenneally. Chams : Springer Science+Business Media B.V., 2016. p. 238–244 (Lecture Notes in Computer Science, Vol. 9661).

    Publication: Research - peer-reviewArticle in proceedings

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