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SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining
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Analyzing Sentiment in a Large Set of Web Data while Accounting for Negation
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Heerschop, B., van Iterson, P., Hogenboom, A., Frasincar, F., Kaymak, U.: Analyzing Sentiment in a Large Set of Web Data while Accounting for Negation. In: 7th Atlantic Web Intelligence Conference (AWIC 2011), pp. 195-205. Springer (2011)
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Mining Economic Sentiment using Argumentation Structures
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Trujillo, J., Dobbie, G., Kangassalo, H., Hartmann, S., Kirchberg,M., Rossi,M., Reinhartz-Berger, I., Zimányi, E., Frasincar, F. (eds.) ER 2010. Springer, Heidelberg
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Hogenboom, A., Hogenboom, F., Kaymak, U., Wouters, P., de Jong, F.: Mining Economic Sentiment using Argumentation Structures. In: Trujillo, J., Dobbie, G., Kangassalo, H., Hartmann, S., Kirchberg,M., Rossi,M., Reinhartz-Berger, I., Zimányi, E., Frasincar, F. (eds.) ER 2010. LNCS, vol. 6413, pp. 200-209. Springer, Heidelberg (2010)
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Determining Negation Scope and Strength in Sentiment Analysis
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IEEE
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Hogenboom, A., van Iterson, P., Heerschop, B., Frasincar, F., Kaymak, U.: Determining Negation Scope and Strength in Sentiment Analysis. In: 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), pp. 2589-2594. IEEE (2011)
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Twitter Power: Tweets as Electronic Word of Mouth
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Jansen, B., Zhang, M., Sobel, K., Chowdury, A.: Twitter Power: Tweets as Electronic Word of Mouth. Journal of the American Society for Information Science and Technology 60(11), 2169-2188 (2009)
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Social Media Analytics: Channeling the Power of the Blogosphere for Marketing Insight
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A Sentimental Education: Sentiment Analysis using Subjectivity Summarization based on Minimum Cuts
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Association for Computational Linguistics
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Thumbs up? Sentiment Classification using Machine Learning Techniques
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Association for Computational Linguistics
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A Framework for Automatic Annotation of Web Pages Using the Google Rich Snippets Vocabulary
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Web Technologies Track, Association for Computing Machinery
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van der Meer, J., Boon, F., Hogenboom, F., Frasincar, F., Kaymak, U.: A Framework for Automatic Annotation of Web Pages Using the Google Rich Snippets Vocabulary. In: Twenty-Sixth Symposium On Applied Computing (SAC 2011), Web Technologies Track, pp. 765-772. Association for Computing Machinery (2012)
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Using Appraisal Groups for Sentiment Analysis
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