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

Natural Language Precessing related notebooks (Machine Learning)

In this notebook everything is done from data preprocessing to encoding

Jupyter Notebook based project that perform word-weighting and data visualization with python

This is a notebook containing a customized model for recommending what questions are best.

Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.

The project is a simple sentiment analysis using NLP. The project in written in python with Jupyter notebook. It shows how to do text preprocessing (removing of bad words, stop words, lemmatization, tokenization). It further shows how to save a trained model, and use the model in a real life suitation. The machine learning model used here is k-N…