You cannot send the database to any other party, nor disclose to anyone else the information contained within it as well as its structure.
We have anonymised the dataset. You cannot attempt to reverse this by linking individual records with specific users. This means that you also should not link individual data with any other information about an individual that you may have. This implies that you cannot attempt to contact any individuals either.
We grant you a non-commercial license to use the data. You can only use it for academic research that does not earn revenue, and your research also cannot be in collaboration with any commercial entities.
The license to use and store our data is recoverable, which means that myPersonality may ask you to cease use of it and to delete it from any storage you have at our sole discretion.
Personality Recognition consists in the automatic classification of authors’ personality traits, that can be compared
against gold standard annotation obtained by means of the big5 personality test.
In recent years the interest of the scientific community towards Personality Recognition has grown incredibly, since the application of Personality Recognition proved to be a valuable resource in Social Network Analysis and Social Computing.
Despite there are a growing number of works in Personality Recognition, it is still very difficult to say what is the state-of-the-art, because almost all the scholars working in the field used different datasets and evaluation measures.
In the Workshop on Computational Personality Recognition (Shared Task) we are going to run a shared task that will allow participants to compare the results of their systems on a common benchmark. We do not want to focus just on performance, but rather on discovering which feature sets, resources and learning techniques are useful in the extraction of personality from text. The workshop will be held in Boston on July 11 2013, in conjunction with ICWSM. Organizers are going to let the data available as a benchmark for future experiments, after the shared task.
The Workshop on Computational Personality Recognition (Shared Task) invites contributions
from researchers or teams working in:
-Natural Language Processing,
-Social Network Analysis,
and any other related area.
Organizers provide two gold standard labelled datasets (released on Feb 1st, 2013):
Contributors are required to:
Organizers warmly invite contributors working in Personality Recognition to test their systems on the datasets released. Other researchers or teams that wish to use the datasets for the tasks listed above are more than welcome.
The Programme committee will evaluate and select the papers for publication on the basis of clarity, correctness, meaningful comparison, significance, soundness and replicability. Negative results will be considered as important as positive results.
Selected papers will be published in the workshop proceedings and will be presented as posters at the workshop.
All papers must be anonymous and follow AAAI formatting guidelines. Papers must be sent to email@example.com no later than March 20th, 2013 (deadline extended).
The Workshop will take place in a half day on July 11th, 2013 and will include a presentation talk, invited talks, a poster session and a panel discussion, open to contributors, organizers and attendees.
January 21th, 2013: first call for participation
January 28th, 2013: second call for participation
February 1st, 2013: data release
March 20th, 2013: paper due date (extended deadline)
March 25th, 2013: notification of acceptance
March 29th, 2013: camera-ready deadline
July 11th, 2013: Workshop.
9:00am - 9:30am > François Mairesse (keynote speaker) From Personality Recognition to User Modeling: Moving Towards Task-Based Evaluation slides
9:30am - 10:00am > Daniel Gatica-Perez (keynote speaker) Big-Five in 100 million pixels: inferring personality in social video slides
10:00am - 10:30am > Fabio Celli (organizer) WCPR13: results and next challenges slides
10:30am - 10:45am > Break
10:45am - 11:30am > Poster Session
11:45am - 12:00am > Dejan Markovikj (via skype) Mining Facebook data for predictive personality modeling slides
12:00am - 12:30pm > Panel Discussion
François Mairesse. Nuance Communications.
Cindy Chung. University of Texas, Austin.
Gianluca Lebani. University of Trento.
Bruno Lepri. Massachussetts Institute of Technology.
Ailbhe Finnerty. Fondazione Bruno Kessler.
Tommaso Fornaciari. University of Trento.
Marco Milano. Fondazione Bruno Kessler.
Scott Nowson. Xerox Research Centre Europe.
Luca Rossi. University of Urbino.
Kyriaki Kalimeri. Fondazione Bruno Kessler.
Francesca Bonin. Trinity College Dublin.
Matthias Mehl. University of Arizona.
Elia Bruni. University of Trento.
Daniel Gatica-Perez. Polytechnique de Lausanne.
Alastair Gill. King's College, London.