Natural Language Processing (NLP) Projects

Overview

A repository demonstrating my expertise in Natural Language Processing (NLP), featuring various techniques and real-world use cases.

Spam Detection: Developed a classifier for detecting spam vs. legitimate messages using Naive Bayes, Random Forest, and techniques like TF-IDF and Word2Vec.
NLP Techniques: Applied techniques such as tokenization, stemming, lemmatization, and Named Entity Recognition (NER).

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Datasets		Datasets
1. NLP Tokenization.ipynb		1. NLP Tokenization.ipynb
2. Stemming - Text Preprocessing.ipynb		2. Stemming - Text Preprocessing.ipynb
3. Lemmatization - Text Preprocessing.ipynb		3. Lemmatization - Text Preprocessing.ipynb
4. Stopwords with Lemmatization - Text Preprocessing.ipynb		4. Stopwords with Lemmatization - Text Preprocessing.ipynb
5. Parts of Speech Tagging - Text Preprocessing.ipynb		5. Parts of Speech Tagging - Text Preprocessing.ipynb
6. Named Entity Recognition.ipynb		6. Named Entity Recognition.ipynb
7. Bag Of Words - text vectorization.ipynb		7. Bag Of Words - text vectorization.ipynb
8. TF-IDF - Text Vectorization.ipynb		8. TF-IDF - Text Vectorization.ipynb
9. Word2Vec - word2vec google news 300.ipynb		9. Word2Vec - word2vec google news 300.ipynb
README.md		README.md
Spam Ham Classification Using BOW and TF-IDF.ipynb		Spam Ham Classification Using BOW and TF-IDF.ipynb
Spam Ham Detection Using Word2Vec and Average Word2Vec.ipynb		Spam Ham Detection Using Word2Vec and Average Word2Vec.ipynb