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Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.

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jasoncobra3/Natural_Language_Processing

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🌟 10 Days of Natural Language Processing (NLP) 🌟

Welcome to my 10 Days of NLP journey! This repository documents my daily progress in learning and implementing various NLP concepts.

📑 Table of Contents

📚 Introduction

Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.

📆 Content Table

Day Topic
1 NLP Introduction
2 NLP Pipelines
3 Text Processing
4 Text Representationm
5 Word To Vector
6 Text Classification
7 Parts of Speech Tagging

✨Datasets & Resources Used

📬 Contact

Feel free to reach out via [email protected]

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Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.

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