Chuen-Min Huang. Investigating topic coherence and task performance for varied types of words in LDA. In 2017 International Conference on Machine Learning and Cybernetics, ICMLC 2017, Ningbo, China, July 9-12, 2017. pages 260-265, IEEE, 2017. [doi]
@inproceedings{Huang17-48, title = {Investigating topic coherence and task performance for varied types of words in LDA}, author = {Chuen-Min Huang}, year = {2017}, doi = {10.1109/ICMLC.2017.8107775}, url = {https://doi.org/10.1109/ICMLC.2017.8107775}, researchr = {https://researchr.org/publication/Huang17-48}, cites = {0}, citedby = {0}, pages = {260-265}, booktitle = {2017 International Conference on Machine Learning and Cybernetics, ICMLC 2017, Ningbo, China, July 9-12, 2017}, publisher = {IEEE}, isbn = {978-1-5386-0408-3}, }