Sentiment analysis in organizational work: Towards an ontology of people analytics

By Roy Gelbard, Roni Ramon-Gonen, Abraham Carmeli, R. Bittmann, R. Talyansky. 2018

68 citations recorded by the source corpus.

Subfields: Marketing, Organizational Behavior and Human Resource Management, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistical and Nonlinear Physics

1. Kyungbok Min
2. Hyeonjoon Moon

Citations in the corpus

• Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018, background): “Gelbard et al. [20] built a conceptual ontology to evaluate human factors by using digital sources and the sentiment analysis available in any organization’s information systems.”