ExpertInnenworkshop: „Social Tagging in der Wissensorganisation – Perspektiven und Potenziale“ am 21./22. Februar 2008 am Institut für Wissensmedien in Tübingen
The SCOT(Social Semantic Cloud Of Tags) ontology is to semantically represent the structure and semantics of a collection of tags and to represent social networks among users based on the tags.
Features
* Easy to use Python API
* Flexible data import options
* Scalable
* Built-in reports
* Built-in data export capabilities
* Open source - easily extended
* Fast processing time (efficient use of graph algorithms)
R. Snow, B. O'Connor, D. Jurafsky, and A. Ng. Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, page 254--263. Honolulu, Hawaii, Association for Computational Linguistics, (October 2008)
V. Sinha, S. Rao, and V. Balasubramanian. (2018)cite arxiv:1803.02781Comment: 8 pages, 5 tables, 1 figure, KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) 2018.
P. Singer, D. Helic, A. Hotho, and M. Strohmaier. Proceedings of the 24th International Conference on World Wide Web, page 1003--1013. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2015)
A. Plangprasopchok, K. Lerman, and L. Getoor. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 949--958. New York, NY, USA, ACM, (2010)