publication . Article . 2011


Smeureanu, I.; Diosteanu, A.; Delcea, C.; Liviu-Adrian Cotfas;
  • Published: 01 Jan 2011
This paper presents a software solution that is developed to automatically classify companies by taking into account their level of social responsibility. The application is based on ontologies and on intelligent agents. In order to obtain the data needed to evaluate companies, we developed a web crawling module that analyzes the company’s website and the documents that are available online such as social responsibility report, mission statement, employment structure, etc. Based on a predefined CSR ontology, the web crawling module extracts the terms that are linked to corporate social responsibility. By taking into account the extracted qualitative data, an int...
free text keywords: corporate social responsibility, ISO 26000 Standard for Social Responsibility, ontology, web crawling, intelligent agent, corporate performance, POS tagging, opinion mining, sentiment analysis, jel:M14, jel:L86
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publication . Article . 2011


Smeureanu, I.; Diosteanu, A.; Delcea, C.; Liviu-Adrian Cotfas;