CMS

Resume Classification: A Case Study

xpertnest2020-06-12T10:12:43+00:00

Challenges

Professional recruiters and HR personnel manually review hundreds of resumes.Manual sorting of resumes into categories is inaccurate and time-consuming.No resume summaries are available.

Xpertnest’s Solutions

A Named Entity Recognizer (NER) was trained to detect key words and key phrases from the resume.Data was annotated for training.The NER used the presence or absence...

For a Legal Firm: Contract Review Using NLP

xpertnest2020-06-12T10:00:29+00:00

Challenges

The client, a legal company, wanted to be able to search documents for lease review and due diligence.The system needed to be able to identify the key parameters defined by the legal expert and provide key insights.Automated summaries had to be prepared using parameters such as contract terms, party details,...

For Oil and Gas Sector Client: OCR & NLP for Digitization and Streamlined Workflows

xpertnest2020-06-12T07:37:02+00:00

Challenges

The client, an energy firm, wanted to be able search contracts, identify key words, and draw connections between documents.The system needed to collect document data.Key phrases and clauses needed to be extracted from the contract.The software had to be able to read and recognize ID documentation.

Xpertnest’s Solutions

Xpertnest built a scraping...