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Information Extraction has been one of the important task in Natural Language Processing (NLP). The said task have been accomplished by using sophisticated machine learning algorithms like Nave Bayes. We will try to approach the problem using Convolutional Neural Networks (CNN) with least possible hyper parameter tuning on pre trained word vectors. It is expected that we can reach our goal with considerable results using CNN that will be computationally much efficient than the traditional approaches.
Python 3.6
- pip
sudo apt install python3-pip
- gensim
pip install gensim
- nltk
pip install nltk
- numpy
pip install numpy
- tensorflow
pip install tensorflow
- keras
pip install Keras
git clone https://github.com/mihirsam/Information-Extraction-using-CNN.git
- Mihir
- Chandni Agarwal
- Sweta Agarwal
Distributed under the MIT License. See LICENSE
for more information.
Mihir - sammihir.sam@gmail.com
Project Link: https://github.com/mihirsam/Information-Extraction-using-CNN