How to extract keywords from JazzHR Job Applications using generative AI
How to extract keywords from JazzHR Job Applications using generative AI
As a hiring manager, sifting through job applications can be a time-consuming process. However, extracting keywords from job applications can help you quickly identify the most qualified candidates. In this post, we’ll show you how to use generative AI to extract keywords from JazzHR 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. You can use it to extract key information and themes from text for many applications, such as search engine optimization (SEO), content analysis, and topic modeling.
Keyword extraction can be performed 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 JazzHR job applications include:
- Categorizing and prioritizing job applications
- Identifying the most qualified candidates
- Improving the efficiency of your hiring process
- Identifying areas for training and improvement for your recruitment team
Teams that might find these use cases helpful include: human resources, recruitment, and hiring managers.
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 JazzHR job applications. You can export this data in CSV format from JazzHR and upload it to a generative AI tool.
Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from your job applications. Generative AI tools can be used to both identify and measure frequency of keywords but also to suggest additional keywords you may not have been aware to look for. For example, if you’re hiring for a software engineer, you may want to extract keywords such as “coding,” “programming,” or “software development.”
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract keywords from your JazzHR job applications. This will help you quickly identify the most qualified candidates and improve the efficiency of your hiring process.
Now that you know how to use generative AI to extract keywords from JazzHR job applications, you can improve the efficiency and effectiveness of your hiring process. Happy hiring!