Keyword Extraction via Multi-Stage Hierarchical Categorization and Dual ranking
At Rezi, we've developed an advanced AI-powered system that doesn't just find keywords—it understands them. Our keyword targeting service analyzes job descriptions with the precision of an expert recruiter and the speed of modern AI, ensuring your resume speaks exactly the language employers are looking for.
How Our AI Thinks Like a Professional Recruiter
We use a sophisticated multi-stage reasoning pipeline, where the extraction process is broken down into multiple layers that run in parallel. Think of it like how an experienced recruiter would analyze a job posting—but with the consistency and thoroughness that only AI can provide.
The Five-Stage Process
Stage 1: Categorization & Language Detection
Our AI first categorizes the job description into four distinct sections: company information, role requirements and responsibilities, compensation and benefits, and application process. It also detects the language of the job posting, ensuring accurate processing for multilingual job descriptions.
Stage 2: Parallel Processing - Keyword Discovery & Category Ranking
Using parallel processing for maximum efficiency, our system simultaneously:
- Extracts keyword-rich substrings from the role requirements and responsibilities
- Ranks the ten keyword categories based on their relevance to the specific job description
Stage 3: Contextual Normalization
Here's where the magic happens. When the AI encounters phrases like "data preparation, transformation and exploration," it breaks them down into individual, searchable components: "data preparation," "data transformation," and "data exploration." This ensures you don't miss opportunities because of how information is formatted.
Stage 4: Strategic Categorization with Priority Scoring
Every keyword gets categorized into one of ten predefined categories that we've identified as crucial for modern job applications, with each keyword receiving a priority score from 1-3 where 3 is a requirement, 2 is a preference and 1 is an optional keyword.
- Tools, Equipment, Applications & Resources - Specific software, programming languages, frameworks, and digital/physical tools
- Methodologies & Procedures - Structured approaches, workflows, and systematic processes like Agile or Quality Assurance
- Academic Qualifications - Formal university degrees and educational credentials
- Professional Certifications - Non-degree credentials, certificates, and language proficiencies
- Management & Leadership - Leadership positions, management styles, and team management capabilities
- Industry & Domain References - Broader conceptual terms denoting industry, field, or business area
- Transferable Personal Competencies - Broadly applicable, non-technical qualities and soft skills
- Experience & Career Level Indicators - Professional experience levels and seniority requirements
- Regulatory, Legal & Compliance Knowledge - Industry-specific laws, regulations, and compliance standards
- Performance Metrics & Outcome Focus - KPIs, targets, and results-oriented achievements
Stage 5: Ranking
The system creates a comprehensive ranking that prioritizes keywords first by category importance (dynamically calculated for each job), then by individual keyword priority scores within each category.
The Power of Dual Ranking Systems
What makes our system truly sophisticated is our dual ranking approach. We don't just find keywords—we understand their relative importance through two ranking systems:
Category-Level Importance
Our AI dynamically ranks all ten categories based on their importance to the specific role. For example, "Management & Leadership" will rank much higher for a Project Manager position than "Academic Qualifications." This ensures you're focusing your resume optimization efforts where they'll have the biggest impact for that particular job.
Keyword-Level Precision with Priority Scoring
Within each category, individual keywords receive a priority score from 1-3:
- Score 3: Strict requirement - absolutely essential for the role
- Score 2: Preferred requirement - good to have and beneficial
- Score 1: Optional - nice to have but not critical
For a frontend developer role, "React" might receive a priority score of 3 (strict requirement) while "Python" gets a score of 1 (optional), even though both are mentioned in the job description. This granular understanding helps you prioritize which skills to emphasize most prominently.
Real-World Impact
Our current keyword targeting feature ranks results in order of category importance first, then by keyword priority score within each category—both rankings are dynamically calculated relative to each specific job description. This means every analysis is tailored, not generic.
The system processes keywords through multiple validation layers, filtering out overly generic terms and ensuring each keyword is concise and impactful. Keywords are automatically normalized to avoid modifiers that might reduce search effectiveness, focusing on the core terms that ATS systems are most likely to match.
When implemented correctly, following our keyword targeting recommendations should significantly increase your chances of passing the initial ATS screening and landing that crucial interview.
