How to extract keywords from SmartRecruiters Job Applications using generative AI
How to Extract Keywords from SmartRecruiters Job Applications using Generative AI
As a recruiter, going through hundreds of job applications can be a daunting task. However, there is a way to identify important keywords from resumes and cover letters using AI. In this post, we'll show you how to use generative AI to automatically extract keywords from SmartRecruiters job applications.
What is Keyword Extraction?
Keyword extraction is a natural language processing (NLP) technique that involves identifying the most important or relevant words or phrases in a piece of text. It can be used to extract key information and themes from text for various applications, such as search engine optimization (SEO), content analysis, and topic modeling.
Keyword extraction can be done manually, but it can also be automated using machine learning algorithms. These algorithms learn to recognize patterns and features in the text that are associated with important words or phrases, and can be trained on a labeled dataset of text.
You can use keyword extraction to analyze and summarize large amounts of text data to quickly identify the most important information and themes.
Example Use Cases
Use cases for extracting keywords from SmartRecruiters job applications include:
- Identifying the most relevant candidates for a job position
- Understanding the most important skills and qualifications for a job role
- Comparing and contrasting candidates based on their resumes and cover letters
- Improving applicant tracking and screening processes
- Identifying areas for training and improvement in the recruitment process
Teams that might find these use cases helpful include: recruiters, hiring managers, HR, and talent acquisition teams.
Finding your input data and identifying preliminary keywords
You first need to identify the data that you want to work with. Here, we are looking at SmartRecruiters job applications. You can extract this data using the SmartRecruiters API, export it in CSV format, query a list of job applications from your data warehouse or BI tool, or copy and paste with an example job application.
For more information on the SmartRecruiters API see here: https://dev.smartrecruiters.com/customer-api/getting-started
Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from job applications. Generative AI tools can be used to both identify and measure the frequency of keywords but also to suggest additional keywords you may not have been aware of. For example - you might find that recurring keywords in job applications around a specific skill or qualification may provide insights into areas you may want to emphasize more in job postings.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract the most important keywords from SmartRecruiters job applications. This will help you identify the most relevant candidates and improve your recruitment process.
By using keyword extraction, you can save time and improve the efficiency of your recruitment processes. Try out generative AI for SmartRecruiters job applications today!