The Crowd as a Source of Knowledge - From User Feedback to Fulfilling Requirements
Author:
Affiliation:
1. Gdańsk University of Technology, Poland
Publisher
University of Gdańsk
Reference48 articles.
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2. 2. Baj-Rogowska, A., Sikorski, M.: Exploring the usability and user experience of social media apps through a text mining approach. Engineering Management in Production and Services, 15(1), pp. 86-105, DOI: 10.2478/emj-2023-0007 (2023)
3. 3. Bhatt, S., Minnery, B., Nadella, S., Bullemer, B., Shalin, V., Sheth, A.: Enhancing crowd wisdom using measures of diversity computed from social media data. In: Proceedings of the international conference on web intelligence, pp. 907-913, (2017).
4. 4. Breen J.: twitter-sentiment-analysis-tutorial-201107, https://github.com/jeffreybreen/twitter-sentiment-analysis-tutorial201107/tree/master/data/opinion-lexicon-English (2023)
5. 5. Budescu, D.V., Chen, E.: Identifying expertise to extract the wisdom of crowds, Manage. Sci. 61, 267-280 (2014).
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