This project aimed to develop an information retrieval system that could identify and rank resumes based on their relevance to a given job description. It utilizes Natural Language Processing (NLP) techniques, specifically Named Entity Recognition (NER) and Vector Space Model (VSM) , to extract relevant features.
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This project aimed to develop an information retrieval system that could identify and rank resumes based on their relevance to a given job description. It utilizes Natural Language Processing (NLP) techniques, specifically Named Entity Recognition (NER) and Vector Space Model (VSM) , to extract relevant features.
MehwishSameer/CV-JD-Matching-System
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This project aimed to develop an information retrieval system that could identify and rank resumes based on their relevance to a given job description. It utilizes Natural Language Processing (NLP) techniques, specifically Named Entity Recognition (NER) and Vector Space Model (VSM) , to extract relevant features.
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