Dear Nina, These papers were very helpful in my work with sentiment analysis Medhat, W., Hassan, A., & Korashy, H. (2014). Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal, 5(4), 1093–1113. https://doi.org/10.1016/j.asej.2014.04.011 <https://doi.org/10.1016/j.asej.2014.04.011> Balahur, A. (2013). Sentiment analysis in social media texts. In Proceedings of the 4th workshop on computational approaches to subjectivity, sentiment and social media analysis (pp. 120–128). Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends® in Information Retrieval, 2(1–2), 1–135. https://doi.org/10.1561/1500000001 <https://doi.org/10.1561/1500000001> Taboada, M. (2016). Sentiment Analysis: An Overview from Linguistics. Annual Review of Linguistics, 2(1), 325–347. https://doi.org/10.1146/annurev-linguistics-011415-040518 <https://doi.org/10.1146/annurev-linguistics-011415-040518> Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011). Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics, 37(2), 267–307. Sergei Pashakhin Laboratory for Internet Studies, National Research University Higher School of Economics
On 14 Jul 2018, at 17:51, Nina Lasek <Nina.Lasek1@hotmail.com> wrote:
Dear all,
most sentiment analyses of social media comments I know use dictionary-based approaches (e.g. sentigstrength). However, I am wondering if researchers also use Natural Language Processing approaches to examine the sentiment of social media comments; I am still an absolute beginner in this field, hence I would be very glad if somebody could point me to useful papers/tutorials/software for doing NLP based sentiment analyses?
Many thanks, Nina _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/