Improving topic modeling through homophily for legal documents

MLA

Kazuki Ashihara, et al. “Improving Topic Modeling through Homophily for Legal Documents.” Applied Network Science, vol. 5, no. 1, Oct. 2020, pp. 1–20. EBSCOhost, https://doi.org/10.1007/s41109-020-00321-y.

APA

Kazuki Ashihara, Cheikh Brahim El Vaigh, Chenhui Chu, Benjamin Renoust, Noriko Okubo, Noriko Takemura, Yuta Nakashima, & Hajime Nagahara. (2020). Improving topic modeling through homophily for legal documents. Applied Network Science, 5(1), 1–20. https://doi.org/10.1007/s41109-020-00321-y

Chicago

Kazuki Ashihara, Cheikh Brahim El Vaigh, Chenhui Chu, Benjamin Renoust, Noriko Okubo, Noriko Takemura, Yuta Nakashima, and Hajime Nagahara. 2020. “Improving Topic Modeling through Homophily for Legal Documents.” Applied Network Science 5 (1): 1–20. doi:10.1007/s41109-020-00321-y.