https://github.com/jasoncobra3/natural_language_processing
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.
https://github.com/jasoncobra3/natural_language_processing
artificial-intelligence artificial-neural-networks data-science deep-learning google-news-scraper machine-learning natural-language-processing nlp nlp-pipeline parts-of-speech pos python text text-analysis text-classification text-preprocessing text-representation word2vec-embeddinngs word2vec-model
Last synced: 7 months ago
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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.
- Host: GitHub
- URL: https://github.com/jasoncobra3/natural_language_processing
- Owner: jasoncobra3
- Created: 2024-06-07T14:01:33.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-06-07T14:28:28.000Z (over 1 year ago)
- Last Synced: 2025-01-23T08:18:55.992Z (9 months ago)
- Topics: artificial-intelligence, artificial-neural-networks, data-science, deep-learning, google-news-scraper, machine-learning, natural-language-processing, nlp, nlp-pipeline, parts-of-speech, pos, python, text, text-analysis, text-classification, text-preprocessing, text-representation, word2vec-embeddinngs, word2vec-model
- Language: Jupyter Notebook
- Homepage:
- Size: 7.97 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🌟 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](#introduction)
- [Content Table](#content-table)
- [Contact](#contact)
## 📚 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
- [IMDB Dataset of 50K Movie Reviews](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews)
- [GoogleNews-vectors-negative300.bin.gz](https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/view?resourcekey=0-wjGZdNAUop6WykTtMip30g)
- [Game Of Thrones books](https://www.kaggle.com/datasets/khulasasndh/game-of-thrones-books)
- [en_core_web_sm-3.0.0.tar.gz](https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz)
## 📬 Contact
Feel free to reach out via [jasoncobra3@gmail.com](mailto:jasoncobra3@gmail.com)