
Check Google for a list of the papers that use SentiWordNet 3.0
Check Google for a list of the papers that use SentiWordNet 1.0
The SentiWordNet interface now provides the possibily to accept user feedback on the values assigned to synsets.
This feature is a first step towards building a community of SentiWordNet users that collaboratively improve SentiWordNet.
Any feedback collected from the community will be shared to the public domain through this site, i.e., what comes from the community goes back to the community.
Feedback log packets will be released periodically on this site.
The feedback process is currently anonymous, the IP and time of the feedback action is recorded only for the purpose of spam filtering, the feedback log packets will not contain the IP address.
The feedback currently does not directly affect SentiWordNet values, we (Baccianella, Esuli, Sebastiani) manually check it in order to correct SentiWordNet values.
Sample code
Here you can find a simple java class that uses SentiWordNet to approximate the sentiment value of a word with a label.
P.S. Note that in this piece of code there is no word sense disambiguation and the scores are approximated with labels, so it's very basic.
News
28/05/2010
The new SentiWordNet site has been launched!
Check out the new Feedback button in the search page!
In order to obtain a copy of SentiWordNet you must fill out the form below and agree with the license terms described in the text that follows.
This license allows you to use SentiWordNet only for research, non-profit purposes. Any institution, be it academic or non-academic, is allowed to use SentiWordNet for any non-profit research project. It is important for us to have feedback on research projects involving SentiWordNet: we kindly ask you to provide us with references to published papers where the use of SentiWordNet is discussed, and to give us comments and feedback.
Publications or presentations containing research results obtained through the use of SentiWordNet should cite the following reference:
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. In Proceedings of LREC-10, 7th Conference on Language Resources and Evaluation, Valletta, MT, 2010, pages 2200-2204. (click here for downloading the paper)
For all projects of a commercial nature, an application should be made for a commercial license for evaluation purposes, internal use, or re-selling. For more information, please contact Fabrizio Sebastiani ( fabrizio . sebastiani @ isti . cnr . it).
The current version of SentiWordNet is 3.0.
You can obtain a research license by filling the following
online form. Please give us clear evidence about your affiliation (for
instance the e-mail account or home-page). If you are an undergraduate
or master student the license should be submitted by a professor of your
University.
See above for commercial licenses.
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