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CS224N Assignments

Solutions for cs224n(Deep Learning For Natural Language Processing) course by stanford university

Prerequisites

  1. Install Anaconda
  2. go to assignmentX where X is either 1, 2, 3 using a Terminal:
    $ cd \path\to\assignment1
  3. create a python 2.7 environnment using
    $ conda env -n cs224n python=2.7 anaconda
  4. activate your environment using (add source before activate if you're working with Linux/Mac)
    $ activate cs224n
  5. install the dependencies using requirements.txt
    $ pip install -r requirements.txt
  6. Don't forget to deactivate your environment when you're done (add source before deactivate if you're on Linux/Mac)
    $ deactivate cs224n

Deployment

Assignment 1

Word2vec

Steps for training Word2vec in assignment 1 :

  1. Go to folder /assignment 1
  2. Run get_datasets.sh(By running this file you can download datasets)
  3. Open a terminal and write(Be careful, for this assignment you should have installed python2.7) :
    $ python q3_run.py

Sentiment Analysis(before you running this section you should download datasets as i mentioned in Word2vec section)

  1. If you want to use logistic regression classifier on word vectors that we trained in Word2vec section you can use this code :
    $ cd path/to/assignment1
    $ python q4_sentiment.py --yourvectors
  2. If you want to use pretrained GLOVE model you can use this code :
    $ cd path/to/assignment1
    $ python q4_sentiment.py --pretrained

Results

Assignment 1

Word2vec

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Sentiment analysis train/dev accuracy

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Sentiment analysis truth table

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Built With

  • Numpy - A library for doing optimized matrix operations
  • Matplotlib - A library for visulizing our outputs as graphs
  • scipy - A Library for doing mathematic, science and engineering stuff.
  • sklearn - Simple and efficient Library for data mining and data analysis

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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