Dataset Open Access
The Webis Tripad 2013 Sentiment Corpus is a English text corpus of 2100 hotel reviews for the development and evaluation of approaches to sentiment flow analysis. Each document in this corpus is assigned an overall rating score, some metadata, and two kinds of annotations. First, each statement of a review's text has been classified with respect to its sentiment polarity (positive, negative, objective) by Amazon Mechanical Turk (AMT) workers. Second, hotel aspects mentioned in the texts were tagged by in-house domain experts.
To give an example, the sentence "The service was perfect and the rooms were clean." consists of two statements "The service was perfect" and "the rooms were clean", both with positive sentiment classification. The aspect in the first statement is "service" and "rooms" in the second, respectively.
Henning Wachsmuth and Benno Stein. A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media (ACM TOIT), 17 (3) : 28:1-28:24, June 2017
Henning Wachsmuth, Johannes Kiesel, and Benno Stein. Sentiment Flow—A General Model of Web Review Argumentation. In Lluís Márquez, Chris Callison-Burch, and Jian Su, editors, 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), pages 601-611, September 2015. Association for Computational Linguistics
Henning Wachsmuth, Martin Trenkmann, Benno Stein, Gregor Engels, and Tsvetomira Palakarska. A Review Corpus for Argumentation Analysis. In Alexander Gelbukh, editors, 15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2014), pages 115-127, Berlin Heidelberg New York, April 2014. Springer. ISBN 978-3-642-54902-1