• Cristian Rotar

In today’s competitive world, organizations spend a lot of resources to hire and retain the best talents. This would allow them to offer better products and services and stay ahead the competition. Among other aspects, how well Talent Management is performed, can have an impact on company’s success as well as on the employee’s turnover. This paper introduces chatbot for internal Talent Management. The prototype shows how supervisors can find suitable employees within the organization. On other side employees can share their project experience, skills, language levels and much more with the chatbot. Dialogflow ES is used to create the chatbot and the Graph Database - Neo4j for storing and retrieving user information. The work discusses briefly the potentials and limitations with the proposed approach compared to traditional softwares. It targets researches and organizations to view new technics for Talent Management as well as the use of Graph Database for chatbots.

Talent Management, Chatbot, Dialogflow ES, Graph Database, Neo4j, NLP, NLU

"Internal Talent Management Chatbot: find the right employee at the right time ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f799-f803, May-2021, Available :http://www.jetir.org/papers/JETIR2105772.pdf

"Internal Talent Management Chatbot: find the right employee at the right time ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf799-f803, May-2021, Available at : http://www.jetir.org/papers/JETIR2105772.pdf