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lemmitization

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This repository is a hands-on guide to Natural Language Processing (NLP) with Python using NLTK. It includes scripts, explanations, and outputs for tokenization, stopwords, stemming, lemmatization, corpora, WordNet, feature extraction, sentiment analysis, and text classification with machine learning.

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  • Python

Resume classification is the task that automatically categorizes resumes or CVs into predefined domain categories or classes based on their content. This task is essential for the job recruitment process, particularly when organizations receive a large number of applications for various positions.

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  • Jupyter Notebook

ResumeScorer is an intelligent resume screening tool that leverages Natural Language Processing (NLP) techniques to assess the relevance of resumes against a given job description. The core idea is to reduce manual screening time and improve candidate-job matching through semantic similarity.

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  • Jupyter Notebook

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