How Natural Language Processing can Revolutionize Human Resources - Analytics in HR

Statistical tagging offers insights from various levels of granularity starting from basic text classification, sentiment analysis to deep information extraction and topic modeling/ automated summation. The HR familiarity with basic Boolean keyword searches to identify good resumes is a very good example of symbolic tagging. However, for the sake of familiarity let's take the example of resume scoring in Hiring on a large unstructured dataset Apart from resume/ application scoring, "Conditional rules models" can also help identify complex human language expressions. NLP vendors typically offer a combination of services mentioned above, including summation, topic modeling, and conditional rules models.