Nicolas Pröllochs

Tenure-Track Professor of Data Science at JLU Giessen

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Publications

Peer-reviewed articles

  • Lutz B, Pröllochs N, Neumann D (2019)
    The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews
    Proceedings of the 40th International Conference on Information Systems (ICIS 2019)
  • Pröllochs N, Feuerriegel S, Neumann D (2019)
    Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach
    Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), Minneapolis, MN, USA, June 2-7, 2019
  • Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D (2019)
    Affective Information Processing of Fake News: Evidence from NeuroIS
    NeuroIS Retreat, Vienna, Austria, June 4-6, 2019
  • Pröllochs N, Feuerriegel S (2019)
    ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R
    Journal of Open Source Software, 4(38), pp. 1087
  • Lutz B, Pröllochs N, Neumann D (2019)
    Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning
    Proceedings of the 52th Hawaii International Conference on System Sciences (HICSS 2019), Grand Wailea, Maui, HI, USA, January 8-11, 2019
  • Pröllochs N, Feuerriegel S (2019)
    Business Analytics for Strategic Management: Identifying and Assessing Corporate Challenges via Topic Modeling
    Information and Management, forthcoming
  • Feuerriegel S, Pröllochs N (2019)
    Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation
    Decision Sciences, forthcoming
  • Lutz B, Pröllochs N, Neumann D (2018)
    Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective
    Proceedings of the 39th International Conference on Information Systems (ICIS 2018), San Francisco, CA, USA, December 13-16, 2018
  • Pröllochs N, Feuerriegel S, Neumann D (2018)
    Statistical Inferences for Polarity Identification in Natural Language
    PLOS One, 13(12), pp. 1-21
  • Hannemann F, Pröllochs N, Alfano S, Neumann D (2018)
    Noise Trader Behavior – A Disaggregated Approach to News Reception and Processing in Financial Markets
    Proceedings of the 26th European Conference on Information Systems (ECIS 2018), Portsmouth, UK, June 23-28, 2018
  • Pröllochs N, Adam M, Feuerriegel S, Neumann D (2018)
    Information Processing of Financial News: The Role of Cognitive Dissonance and Information Avoidance
    Proceedings of the 26th European Conference on Information Systems (ECIS 2018), Portsmouth, UK, June 23-28, 2018
  • Lutz B, Pröllochs N, Neumann D (2017)
    Understanding the Role of Social Media in the Assessment of Retailer-Hosted Consumer Reviews
    Proceedings of the 28th Australasian Conference on Information Systems (ACIS 2017), Hobart, Tasmania, Dec 4-6, 2017
  • Alfano S, Pröllochs N, Märkle-Huß J, Feuerriegel S, Neumann D (2017)
    Setting the Right Tone: How Data Science Enables Investor Communication to Choose the Right Language
    Proceedings of the 13. Internationale Tagung Wirtschaftsinformatik (WI), St. Gallen, Switzerland
  • Pröllochs N, Feuerriegel S, Neumann D (2016)
    Negation Scope Detection in Sentiment Analysis: Decision Support for News-Driven Trading
    Decision Support Systems, 88(1), pp. 67 – 75
  • Pröllochs N, Feuerriegel S, Neumann D (2016)
    Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market
    Proceedings of the 37th International Conference on Information Systems (ICIS 2016), Dublin, Ireland, December 11-14, 2016
  • Alfano S, Rapp M, Pröllochs N, Feuerriegel S, Neumann D (2016)
    Driven by News Tone? Understanding Information Processing When Covariates are Unknown: The Case of Natural Gas Price Movements
    Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI 2016), Illmenau, Germany, March 9-11, 2016
  • Pröllochs N, Feuerriegel S, Neumann D (2016)
    Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning
    Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS 2016), Koloa, Kauai, HI, USA, January 5-8, 2016, Best Paper Award
  • Pröllochs N, Feuerriegel S, Neumann D (2015)
    Generating Domain-Specific Dictionaries Using Bayesian Learning
    Proceedings of the 23rd European Conference on Information Systems (ECIS 2015), Münster, Germany, May 26-29, 2015
  • Pröllochs N, Feuerriegel S, Neumann D (2015)
    Enhancing Sentiment Analysis of Financial News by Detecting Negation Scopes
    Proceedings of the 48th Hawaii International Conference on System Sciences (HICSS 2015), Koloa, Kauai, HI, USA, January 5-8, 2015, Nominated for the Best Paper Award

Book chapters

  • Alfano S, Pröllochs N, Feuerriegel S, Neumann D (2017)
    Say It Right: IS Prototype to Enable Evidence Based Communication with Big Data
    2017 In: Deokar A., Gupta A., Iyer L., Jones M. (eds), Analytics and Data Science, pp. 217-221, Springer

Workshop papers & poster presentations

  • Pröllochs N, Calliess J (2019)
    Not This FUD Again: How Internet Forum Posts Drive Bitcoin Volatility
    Winter Conference on Business Analytics (WCBA 2019), Snowbird, UT, USA, March 7-9, 2019
  • Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D (2018)
    Misinformation in Social Media: Empirical Evidence of Human Information Processing from NeuroIS
    Third Workshop on the Digitization of the Individual, San Francisco, CA, USA, December 12, 2018
  • Pröllochs N (2018)
    Impression Management Techniques in Financial News
    Workshop on Natural Language Processing in Financial Markets, Berlin, Germany, November 16, 2018
  • Pröllochs N, Feuerriegel S (2017)
    ReinforcementLearning: A Package for Replicating Human Behavior in R
    R User Conference (UseR 2017), Brussels, Belgium, July 4-7, 2017
  • Pröllochs N, Feuerriegel S, Neumann D (2017)
    Replicating Financial Decision-Making Using Reinforcement Learning: The Role of Information Avoidance in Corporate Disclosures
    Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2017), Ho Chi Minh City, Vietnam, June 26-28, 2017
  • Pröllochs N, Feuerriegel S, Neumann D (2017)
    The Role of Information Avoidance in Financial Markets: How Investors Ignore Unwanted Information in Corporate Disclosures
    Winter Conference on Business Analytics (WCBA 2017), Snowbird, UT, USA, March 2-4, 2017
  • Feuerriegel S, Pröllochs N, Neumann D (2016)
    Understanding Human Behavior for Applications in Finance and Social Sciences: Insights from Content Analysis with Novel Bayesian learning in R
    R User Conference (UseR 2016), Stanford, CA, USA, June 27-30, 2016
  • Pröllochs N, Feuerriegel S, Neumann D (2016)
    How Emotional and Cognitive Biases in Investors’ Perceptions Impact the Stock Markets
    Winter Conference on Business Intelligence (WCBI 2016), Snowbird, UT, USA, March 3-5, 2016
  • Alfano S, Pröllochs N, Feuerriegel S, Neumann D (2015)
    Say It Right: IS Prototype to Enable Evidence Based Communication with Big Data
    Business Analytics Congress (BAC 2015), Forth Worth, TX, USA, December 12-13, 2015
  • Pröllochs N, Feuerriegel S, Neumann D (2016)
    When Words Matter Most: Tailoring Domain-Specific Dictionaries with Decision Analytics
    Proceedings of the Conference on Information Systems and Technology (CIST 2015), Philadelphia, PA, USA, October 31 – November 1, 2015
  • Feuerriegel S, Schmitz J T, Pröllochs N, Neumann D (2015)
    What Matters Most? How Tone in Initial Public Offering Filings and Pre-IPO News Influences Stock Market Returns
    FMA European Conference, Venice, Italy, June 11-12, 2015
  • Pröllochs N, Feuerriegel S, Neumann D (2015)
    Say it Right – How Managers Prettify Corporate Disclosures
    Winter Conference on Business Intelligence (WCBI 2015), Snowbird, UT, USA, March 12-14, 2015

Nicolas Pröllochs

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R-Packages

R-packages (> 45.000 downloads) can be found here

Datasets

Datasets and further resources can be found here

Teaching Materials

Teaching materials can be found here
©2019 Nicolas Pröllochs