This corpus consists of truthful and deceptive hotel reviews of 20 Chicago hotels. The data is described in two papers according to the sentiment of the review. In particular, we discuss positive sentiment reviews in [1] and negative sentiment reviews in [2].
While we have tried to maintain consistent data preprocessing procedures across the data, there are differences which are explained in more detail in the associated papers. Please see those papers for specific details.
This corpus contains:
Each of the above datasets consist of 20 reviews for each of the 20 most popular Chicago hotels (see [1] for more details). The files are named according to the following conventions:
fold correspond to a single fold from the
cross-validation experiments reported in [1] and [2].%c_%h_%i.txt, where:
%c denotes the class: (t)ruthful or (d)eceptive%h denotes the hotel:
%i serves as a counter to make the filename unique[1] M. Ott, Y. Choi, C. Cardie, and J.T. Hancock. 2011. Finding Deceptive Opinion Spam by Any Stretch of the Imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.
[2] M. Ott, C. Cardie, and J.T. Hancock. 2013. Negative Deceptive Opinion Spam. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.
If you use any of this data in your work, please cite the appropriate associated paper (described above).
Theme by orderedlist