The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection

Author:

Kim Minjun,Sayama Hiroki

Publisher

Springer International Publishing

Reference20 articles.

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2. Zhou, X., Hu, Y., Guo, L.: Text categorization based on clustering feature selection. Proc. Comput. Sci. 31, 398–405 (2014)

3. Lancichinetti, A., Sirer, M.I., Wang, J.X., Acuna, D., Körding, K., Amaral, L.A.N.: High-reproducibility and high-accuracy method for automated topic classification. Phys. Rev. X 5, 011007 (2015)

4. Dorado, R., Sylvie, R.: Semisupervised text classification using unsupervised topic information. In: Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference (FLAIRS), pp. 210–213 (2016)

5. Kim, M., Sayama, H.: Predicting stock market movements using network science: an information theoretic approach. Appl. Netw. Sci. 2, 35 (2017)

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