Journals / Conferences / workshops


Kunneman, F., van Mulken, M. and van den Bosch, A. (2020).
Anticipointment Detection in Event Tweets.
International Journal of Artificial Intelligence Research, 29 (2).

Kunneman, F., Lambooij, M., Wong, A., van den Bosch, A. and Mollema, L. (2020).
Monitoring stance towards vaccination in twitter messages.
BMC Medical Informatics and Decision Making, 20 (33).


Kunneman, F., Castro Ferreira, T., Krahmer, E. & van den Bosch, A. (2019).
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models.
In Proceedings of the International Conference Recent Advances in Natural Language Processing (pp. 593-601).

Oostdijk, N.H., Lambooij, M.S., Beinema, P., Wong, A., Kunneman, F. & Keizers, P.H. (2019).
Fora fuelling the discovery of fortified dietary supplements–An exploratory study directed at monitoring the internet for contaminated food supplements based on the reported effects of their users.
PloS one, 14(5)

Lauran, N., Kunneman, F. & Van de Wijngaert, L. (2019).
Connecting social media data and crisis communication theory: a case study on the chicken and the egg.
Journal of Risk Research, 1-19.

Stoop, W., Kunneman, F., van den Bosch, A., & Miller, B. (2019).
Detecting harassment in real-time as conversations develop.
In Proceedings of the Third Workshop on Abusive Language Online (pp. 19-24).


Kunneman, F., Wubben, S., van den Bosch, A., & Krahmer, E. (2018).
Aspect-based summarization of pros and cons in unstructured product reviews.
In Proceedings of the 27th International Conference on Computational Linguistics (pp. 2219-2229).

Beeksma, M., van Gompel, M., Kunneman, F., Onrust, L., Regnerus, B., Vinke, D., Brito, E., Bauckhage, C., Sifa, R.
Detecting and correcting spelling errors in high-quality Dutch Wikipedia text.
Computational Linguistics in the Netherlands Journal, 8, 122-137.


van Lent, L. G., Sungur, H., Kunneman, F., van de Velde, B., & Das, E. (2017).
Too far to care? Measuring public attention and fear for Ebola using Twitter.
Journal of medical Internet research, 19(6).

van Noord, R., Kunneman, F.A. & van den Bosch, A. (2017)
Predicting civil unrest by categorizing Dutch Twitter events.
Communications in Computer and Information Science, 765. 3-16

Hendrickx, I., Onrust, L., Kunneman, F., Hürriyetoğlu, A., Stoop, W., van den Bosch, A. (2017)
Unraveling reported dreams with text analytics
Digital Humanities Quarterly, 11(4).


Kunneman, F., & Van den Bosch, A. (2016).
Open-domain extraction of future events from Twitter.
Natural Language Engineering, 22(5), 655-686

Hallmann, K., Kunneman, F., Liebrecht, C., van den Bosch, A., & van Mulken, M. (2016).
Sarcastic Soulmates: Intimacy and irony markers in social media messaging.
LiLT (Linguistic Issues in Language Technology), 14.


Kunneman, F., Liebrecht, C., Van Mulken, M., & Van den Bosch, A. (2015).
Signaling sarcasm: From hyperbole to hashtag.
Information Processing & Management, 51(4), 500-509.

Kunneman, F., & Van den Bosch, A. (2015).
Automatically identifying periodic social events from Twitter.
In Proceedings of the International Conference Recent Advances in Natural Language Processing (pp. 320-328).


Kunneman, F., Liebrecht, C., & van den Bosch, A. (2014).
The (un) predictability of emotional hashtags in twitter.
In Proceedings of the 5th Workshop on Language Analysis for Social Media (LASM) (pp. 26-34).

Kunneman, F., & van den Bosch, A. (2014).
Event detection in Twitter: A machine-learning approach based on term pivoting.
In Grootjen, F., Otworowska, M., Kwisthout, J. (ed.), Proceedings of the 26th Benelux Conference on Artificial Intelligence (pp. 65-72).

Kunneman, F. and Hurriyetoglu, A., Oostdijk, N. & van den Bosch, A. (2014)
Timely identification of event start dates from Twitter
Computational Linguistics in the Netherlands Journal, 4, 39-52


Liebrecht, C., Kunneman, F., & van den Bosch, A. (2013).
The perfect solution for detecting sarcasm in tweets #not.
In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (pp. 29-37).

Hürriyetoglu, A., Kunneman, F., & van den Bosch, A. (2013).
Estimating the time between Twitter messages and future events.
In Proceedings of the 13th Dutch-Belgian Information Retrieval Workshop (pp. 20-23).

Tops, H., van den Bosch, A., & Kunneman, F. (2013).
Predicting time-to-event from Twitter messages.
In Hindriks, K., De Weerdt, M., Van Riemsdijk, B.(ed.), Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference.


Kunneman, F., & van den Bosch, A. (2012)
Leveraging Unscheduled Event Prediction through Mining Scheduled Event Tweets.
In Roos, N., Winands, M., Uiterwijk, J.(ed.), Proceedings of the 24th Benelux Conference on Artficial Intelligence (pp. 147-154).


Stoop, W., Kunneman, F., van den Bosch, A., & Miller, B. (2021).
Catching Cyberbullies with Neural Networks
The Gradient, 21 February 2021


Kunneman, F., Hendrickx, I. & Beeksma, M. (2018).
Computational Linguistics in the Netherlands Journal 8.

Kunneman, F., Iñurrieta, U., Camilleri, J., & Ardanuy, M. (2017).
Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics.