All experiments were performed on a collection of reviews about automobiles and mobile applications in Russian.
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Data with noisy labels: corpora/fin_apps_comments_lem.txt, corpora/auto_sentences_lem.txt
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Labeled examples (with 'problemscore' labels): corpora/auto_testing_labeled.json , corpora/fin_apps_testing_labeled.json
##Authors
Elena Tutubalina Kazan Federal University
##Citation Please cite the following paper if you use our data in your work:
E. Tutubalina. Identifying Product Failures from Reviews in Noisy Data by Distant Supervision. Accepted to Proc. 7th International Conference on Knowledge Engineering and Semantic Web (KESW). Springer International Publishing (2016)