Natural language processing (NLP) revolutionize human resources

Introduction

The advancement of NLP applications is challenging Since computers customarily require humans to "speak" to them in a programming language that is precise, unambiguous and profoundly organized, or through a constrained number of clearly articulated voice commands. Human speech, however, is not always precise - it is regularly equivocal and the phonetic structure can depend on many complex factors, including slang, regional dialects and social context (Rouse, 2019).

 

Identified approaches in NLP that are relevant to HR

1. Types of Generic natural language processing insights (relevant to the HR application context)

 

• ·         Sentiment Analysis of HR documents
• ·         Deep Information Extraction from HR documents
• ·         Classification/ ranking of HR documents as per business specifications
• ·         Automated Summation of HR documents (topic discovery)
• ·         Establishing HR Hypothesis and process improvement (a part of prescriptive analytics)

 

2. Application areas of natural language processing (within the HR application context)

• ·         Application/ Resume classification and scoring
• ·         Appraisal and 360-degree feedback analysis
• ·         Surveys and feedback analysis
• ·         Identifying Training, Succession planning
• ·         Social media content analysis of employees
• ·         Insights on documented Legal cases/ suits
• ·         Design and insights about Employee Counseling
• ·         NLP on virtually any unstructured data within the scope of HR, including transcribed data.

Global Context

There aren’t numerous sellers who are as it were centered on progressed NLP to HR processes yet. Most vendors are text analytics generalists; they may not have in-depth aware of HR specific challenges. Organization see may be a great case of committed operator in this space and there are a couple of more  (Raja Sengupta,Soumyasanto Sen, 2020). 

Conclusion

HR is the prime candidate for selection  of NLP-based technologies, as HR is inherently people-centric and communication based. HR business processes thus generate vast amounts of natural language data. This presents an opportunity for HR. It will also enable HR to have greater intelligence and leverage within the organization. Early adopters and pioneers don’t hesitate to contact us for assist engagement

 References

Raja Sengupta,Soumyasanto Sen, 2020. www.analyticsinhr.com. [Online] Available at: https://www.analyticsinhr.com/blog/natural-language-processing-revolutionize-human-resources/ [Accessed 11 December 2020].

Rouse, M., 2019. searchbusinessanalytics.techtarget.com. [Online] Available at: https://searchbusinessanalytics.techtarget.com/definition/natural-language-processing-NLP#commenting [Accessed 11 December 2020].