The SFU Review Corpus - Appraisal Annotations
Maite Taboada
Simon Fraser University
mtaboada@sfu.ca

This folder contains annotations of subjectivity types using the Appraisal framework, based on the explanations in J. Martin and P. White (2005) The Language of Evaluation: Appraisal in English. London: Palgrave McMillan. 

The system networks and annotations were created using the UAM CorpusTool (http://www.wagsoft.com/CorpusTool/index.html). Annotations by Maite Taboada and Patrick Larrivee-Woods.

These annotations are part of a larger project to extract sentiment from text. The entire corpus consists of movie, books, and consumer product reviews. For more information on the corpus collection, and the project it is part of, see the Project Description for "Computational analysis of text sentiment" (http://www.sfu.ca/~mtaboada/research/nserc-project.html) and the following publications:

    * Taboada, M., C. Anthony and K. Voll (2006) Methods for Creating Semantic Orientation Dictionaries. Proceedings of 5th International Conference on Language Resources and Evaluation (LREC). Genoa, Italy. May 2006. pp. 427-432. Paper in pdf format.
    * Taboada, M. and J. Grieve (2004) Analyzing Appraisal Automatically. American Association for Artificial Intelligence Spring Symposium on Exploring Attitude and Affect in Text. Stanford. March 2004. AAAI Technical Report SS-04-07. (pp.158-161). Download paper in pdf format. - Download poster (pdf).

The reviews were downloaded in 2004 from the Epinions web site by Jack Grieve. They are divided in the following categories, with 25 positive and 25 negative reviews in each category. The classification into positive and negative was based on the "recommended" or "not recommended" tag that the reviewer provided.

    * Books
    * Cars
    * Computers
    * Cookware
    * Hotels
    * Movies
    * Music
    * Phones

The raw corpus, and other types of annotations, are available from the SFU Review Corpus site (http://www.sfu.ca/~mtaboada/research/SFU_Review_Corpus.html). 

The current Appraisal annotations contain only movies, books and hotels. 


2007-2008 Maite Taboada, Patrick Larrivee-Woods

http://www.sfu.ca/~mtaboada/research/nserc-project.html
http://www.sfu.ca/~mtaboada/