Collection of Notebooks for Natural Language Processing with PyTorch

Python 2 and Python 3 naive bayes spam classifier trained with nltk.

This jupyter notebook has various ML classification models to detected a mail as spam or not

Machine Learning Notebooks for various ML models like CNNs, RF, SVM, Log-reg, etc.

The repository contains Jupyter notebooks for various NLP tasks.

This repository contains introductory notebooks for text mining and web scrapping.

Personal Lab Notebooks

Natural Language Processing - learning notebooks

an iPython notebook using natural language toolkit to analyse President Obama's speeches

This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.

This repository contains a Jupyter Notebook for performing keyword extraction from a dataset of NIPS papers. The notebook demonstrates data preprocessing, including removing HTML tags and special characters, tokenizing text, removing stopwords, and stemming words. It then applies TF-IDF to extract keywords.

Project "Text Mining Female Masculinity in Sixteenth and Seventeenth-Century Britain" and other coursework from McGill Literary Text Mining graduate seminar. Uses Python, Jupyter Notebooks.

Repo for tracking the Jupyter notebooks work from the course assignments from the Engineering Institute of Technology's Certificate of Competency in Big Data Analytics in Electricity Grid

This Jupyter notebook is an interactive tool for processing natural language text. It segments text into sentences, performs word tokenization, counts word frequencies, timestamps each entry, and saves the results in JSON format. Ideal for NLP studies and text analysis

This repository features two Jupyter Notebooks: one for text preprocessing and the other showcasing topic modeling using the OCTIS library with Latent Dirichlet Allocation (LDA) applied to the ChiLit Corpus. Dive into the README for detailed instructions, citations, and links to the datasets and libraries used in this project.