Notebooks to the Text Mining course
- 01 NLP whit NLTK
- 02 Text classification whit Sklearn
- 03 Word representations whit Gensim
- 04 RNN whit Keras
- Sentiment model
- Word tagging
- 99 Homework
- Open: https://colab.research.google.com/
- In the load notebook screen select the tag github
- Find: sueiras/text_mining
- Select the notebook to open.
- To execute the notebooks with RNN change te
If you want to make changes in the repository and save it, the best way are fork the repository in your github account and work in the forked copy as usual with git.
To execute the notebooks in local you need a local python environment with the required packages.
Open an Anaconda terminal and execute
conda create -n tm python=3.6
activate tm
conda install pip
conda install graphviz
conda install pandas scikit-learn
conda install -c anaconda jupyter
conda install matplotlib
conda install pillow
conda install -c conda-forge spacy
# Spacy models (37.4Mb - 36.7Mb - 120.8Mb)
python -m spacy download en
python -m spacy download es
python -m spacy download en_core_web_md
pip install --upgrade gensim
pip install h5py
pip install pydot-ng
pip install nltk
pip install pyldavis
pip install --ignore-installed --upgrade tensorflow