Search results

Products 497

product

Sentiment polarity classification of corporate review data with a bidirectional Long-Short Term Memory (biLSTM) neural network architecture

A considerable amount of literature has been published on Corporate Reputation, Branding and Brand Image. These studies are extensive and focus particularly on questionnaires and statistical analysis. Although extensive research has been carried out, no single study was found which attempted to predict corporate reputation performance based on data collected from media sources. To perform this task, a biLSTM Neural Network extended with attention mechanism was utilized. The advantages of this architecture are that it obtains excellent performance for NLP tasks. The state-of-the-art designed model achieves highly competitive results, F1 scores around 72%, accuracy of 92% and loss around 20%.

PDF

12/31/2019
Sentiment polarity classification of corporate review data with a bidirectional Long-Short Term Memory (biLSTM) neural network architecture
product

Coping with immersive negative employer ratings: An employee perspective

Online reputation systems (ORS) are platforms that collect and share feedback about products, services, or companies, primarily focusing on consumer reviews. However, employee rating platforms, a subset of ORS, allow workers to review their employers, providing valuable insights for job seekers and current employees. These reviews, often neglected in research, can significantly impact employees' perceptions and workplace dynamics by revealing hidden opinions and experiences. This study explores how employees manage the fear of interpersonal conflict arising from negative reviews and its effects on turnover intentions and recovery. Theoretical analysis utilizes the transactional model of stress and coping to understand these dynamics.

PDF

06/12/2024
Coping with immersive negative employer ratings: An employee perspective
product

A company’s corporate reputation through the eyes of employees measured with sentiment analysis of online reviews

PDF

12/31/2020
A company’s corporate reputation through the eyes of employees measured with sentiment analysis of online reviews