Hidden Sentiment Behind Letter Repetition in Online Reviews
P. L. Teh, I. Pak, P. Rayson, and S. Piao, “Exploring fine-grained sentiment values in online product reviews,” in 2015 IEEE Confernece on Open Systems (ICOS), 2015, pp. 114–118.
J. Carey, “Paralanguage in computer mediated communication,” ACL ’80 Proc. 18th Annu. Meet. Assoc. Comput. Linguist., no. 54, pp. 67– 69, 1980.
B. Smith, “The use of communication strategies in computer-mediated communication,” System, vol. 31, no. 1, pp. 29–53, 2003.
E. Darics, “Non-verbal signalling in digital discourse: The case of letter repetition,” Discourse, Context Media, vol. 2, no. 3, pp. 141–148, 2013.
Y. M. Kalman and D. Gergle, “Letter repetitions in computer-mediated communication: A unique link between spoken and online language,” Comput. Human Behav., vol. 34, pp. 187–193, 2014.
Y. M. Kalman and D. Gergle, “Letter and Punctuation Mark Repeats as Cues in Computer-Mediated Communication,” in 95th annual meeting of the National Communication Association in Chicago, 2009.
Y. M. Kalman and D. Gergle, “CMC Cues Enrich Lean Online Communication: The Case of Letter and Punctuation Mark Repetitions,” MCIS 2010 Proc., p. 45, 2010.
I. Pak and P. L. Teh, “Machine Learning Classifiers : Evaluation of the Performance in Online Reviews,” Indian J. Sci. Technol., vol. 9, no. 45, pp. 1–9, 2016.
P. L. Teh, P. Rayson, I. Pak, S. Piao, and M. Y. Seow, “Reversing the Polarity with Emoticons,” in Natural Language Processing and Information Systems, Switzerland: Springer International Publishing Switzerland, 2016, pp. 453–458.
P. L. Teh, P. Rayson, S. Piao, and I. Pak, “Sentiment Analysis Tools Should Take Account of the Number of Exclamation Marks !!!,” in The 17th International Conference on Information Integration and Webbased Applications & Services, 2015, p. Artcile 35.
P. Rayson, “From key words to key semantic domains,” Int. J. Corpus Linguist., vol. 13, no. 4, pp. 519–549, 2008.
M. Thelwall, K. Buckley, G. Paltoglou, and D. Cai, “Sentiment Strength Detection in Short Informal Text,” Am. Soc. Informational Sci. Technol., vol. 61, no. 12, pp. 2544–2558, 2010.
M. Thelwall, “TensiStrength: Stress and relaxation magnitude detection for social media texts,” Inf. Process. Manag., vol. 0, pp. 1– 16, 2016.
V. Narayanan, I. Arora, and a Bhatia, “Fast and accurate sentiment classification using an enhanced Naive Bayes model,” Int. Data Eng. Autom. Learn. Lect. Notes Comput. Sci., vol. 8206, pp. 194–201, 2013.
P. Riefler, A. Diamantopoulos, and J. A. Siguaw, “Cosmopolitan consumers as a target group for segmentation,” J. Int. Bus. Stud., vol. 43, no. 3, pp. 285–305, 2012.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.