Fine-grained Opinion Mining from Mobile App Reviews with Word Embedding Features. In Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, and Elisabeth Métais (Eds.), Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings, 3--14, Springer International Publishing, Cham, 2017. [PUMA: app myown reviews sentiment] URL
Towards Opinion Mining from Reviews for the Prediction of Product Rankings. Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 51--57, Association for Computational Linguistics, Lisboa, Portugal, September 2015. [PUMA: myown nlp reviews sentiment] URL
SCARE ― The Sentiment Corpus of App Reviews with Fine-grained Annotations in German. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asunción Moreno, Jan Odijk, and Stelios Piperidis (Eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), European Language Resources Association (ELRA), Paris, France, May 2016. [PUMA: annotations app corpus myown resource reviews sentiment] URL
Opinion Mining in Online Reviews About Distance Education Programs. 2016. [PUMA: annotations education myown reviews sentiment] URL
IGGSA Shared Tasks on German Sentiment Analysis. In Gertrud Faaß, and Josef Ruppenhofer (Eds.), Workshop Proceedings of the 12th Edition of the KONVENS Conference, University of Hildesheim, Hildesheim, Germany, October 2014. [PUMA: annotation competition german myown reviews sentiment shared] URL
An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews. Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 42-49, Association for Computational Linguistics, Baltimore, Maryland, June 2014. [PUMA: irony myown reviews sentiment] URL
The USAGE review corpus for fine grained multi lingual opinion analysis. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.), Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), 2211-2218, European Language Resources Association (ELRA), Reykjavik, Iceland, May 2014. [PUMA: annotations corpus myown resource reviews sentiment] URL