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Collaborative Company Profiling: Insights from an Employee's Perspective by Lin, Hao; Zhu, Hengshu; Zuo, Yuan; Zhu, Chen; Wu, Junjie; Xiong, Hui is a scholarly article available to read on EtoBox.

What is Collaborative Company Profiling: Insights from an Employee's Perspective about?

Company profiling is an analytical process to build an indepth understanding of company's fundamental characteristics. It serves as an effective way to gain vital information of the target company and acquire business intelligence. Traditional approaches for company profiling rely heavily on the availability of rich finance information about the company, such as finance reports and SEC filings, which may not be readily available for many private companies. However, the rapid prevalence of online employment services enables a new paradigm - to obtain the variety of company's information from their employees' online ratings and comments. This, in turn, raises the challenge to develop company profiles from an employee's perspective. To this end, in this paper, we propose a method named Company Profiling based Collaborative Topic Regression (CPCTR), for learning the latent structural patterns of companies. By formulating a joint optimization framework, CPCTR has the ability in collaboratively modeling both textual (e.g., reviews) and numerical information (e.g., salaries and ratings). Indeed, with the identified patterns, including the positive/negative opinions and the latent variable

Author

Lin, Hao; Zhu, Hengshu; Zuo, Yuan; Zhu, Chen; Wu, Junjie; Xiong, Hui

Published

2017

Language

EN