Semantic Scholar Open Access 2018 435 sitasi

Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach

Allen H. Huang R. Lehavy Amy Y. Zang Rong Zheng

Abstrak

Allen H. Huang,a Reuven Lehavy,b Amy Y. Zang,a Rong Zhengc aDepartment of Accounting, Hong Kong University of Science and Technology, Kowloon, Hong Kong; bRoss School of Business, University of Michigan, Ann Arbor, Michigan 48109; cDepartment of Information Systems, Business Statistics, and Operations Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong Contact: allen.huang@ust.hk (AHH); rlehavy@umich.edu, http://orcid.org/0000-0003-3875-8848 (RL); amy.zang@ust.hk (AYZ); rzheng@ust.hk (RZ)

Topik & Kata Kunci

Computer Science

Penulis (4)

Allen H. Huang

R. Lehavy

Amy Y. Zang

Rong Zheng

Format Sitasi

APA MLA BibTeX

Huang, A.H., Lehavy, R., Zang, A.Y., Zheng, R. (2018). Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach. https://doi.org/10.1287/mnsc.2017.2751

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 435×
Sumber Database: Semantic Scholar
DOI: 10.1287/mnsc.2017.2751
Akses: Open Access ✓