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text-frites

Playing with NLP techniques with the ~500,000 Amazon fine food reviews (link).

Usage

The repository contains a notebook I used for an NLP workshop at a conference where I was invited to talk. I am making it available here in the src/nlp_analysis.ipynb jupyter notebook.

1. Clone the repository

From command line :

git clone git@github.com:itismouad/text-frites.git

Folder structure:

.
├── README.md
├── __init__.py
├── data
│   ├── Reviews.csv
│   ├── database.sqlite
│   ├── glove
│   └── word2vec
├── img
├── model
├── nlp_3.yml
└── src

2. Install conda environment

To run this project, you need the packages listed in the environment YAML file. If you have Anaconda installed, you can create an environment for this project by using the following command :

conda env create -f nlp_3.yml
source activate nlp_3

3. Download Word Embeddings

Download pre-trained word embeddings at the following links :

4. Download the dataset

and store it the data folder.

Cools things to read

  • Understanding LSTMs, Colah : link
  • The Unreasonable Effectiveness of Recurrent Neural Networks, A. Karpathy : link
  • Advances in Pre-Training Distributed Word Representations, Facebook AI Research : link
  • Learned in translation: contextualized word vectors, Einstein AI (Salesforce) : link

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Playing with NLP techniques with the ~500,000 Amazon fine food reviews.

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