Introduction to NLP

This repo is for the hands-on component of introducing NLP in an hour-long seminar.

You can read the code by clicking on the ipynb files within github. However, if you want to partcipate in the hands-on part, you'll need to:

Clone this repo
Make sure you have the dependencies (NB: Anaconda makes this simple!)
- Python 2
- Jupyter Notebooks
- sklearn
- nltk
- numpy
- scipy
Download the data that is sizeable
- GloVe 6B at http://nlp.stanford.edu/data/glove.6B.zip
- WordNet within nltk -- see http://www.nltk.org/data.html for info (in brief: import nltk; nltk.download() but of course no semicolons in Python)

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
data		data
.gitignore		.gitignore
0 Preprocessing.ipynb		0 Preprocessing.ipynb
1 Hand engineered weights.ipynb		1 Hand engineered weights.ipynb
2 Machine learning on words.ipynb		2 Machine learning on words.ipynb
3 Machine learning with WordNet.ipynb		3 Machine learning with WordNet.ipynb
4 Machine learning from scratch.ipynb		4 Machine learning from scratch.ipynb
5 Machine learning with smarter features.ipynb		5 Machine learning with smarter features.ipynb
6 Machine learning with GloVe vectors.ipynb		6 Machine learning with GloVe vectors.ipynb
7 Machine learning with feature extraction on GloVe.ipynb		7 Machine learning with feature extraction on GloVe.ipynb
README.md		README.md
X - TF-IDF.ipynb		X - TF-IDF.ipynb

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