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Deep learning for sentiment analysis — André Barbosa (elo7) @PAPIs Connect — São Paulo 2017

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Convolutional Neural Networks (CNNs) are already proven to be the state of art technique for image classification projects. However, some recent research found that it can be also used for some text classification problems such as sentiment analysis.This talk presents some definitions about what CNNs are and shows a little bit code about how to build one in a little Sentiment Analysis project.

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Deep learning for sentiment analysis — André Barbosa (elo7) @PAPIs Connect — São Paulo 2017

  1. 1. Deep Learning for Sentiment Analysis Using Conv Nets for Text Classification
  2. 2. Who am I? Andre Barbosa Information Systems Bachelor from EACH/USP Data Scientist/ML Engineer at Elo7
  3. 3. Sentiment Analysis !
  4. 4. What are Convolutional Neural Networks?
  5. 5. Word Embeddings !
  6. 6. Further Details Yoon Kim Convolutional Networks for Sentence Classification Denny Britz Implementing a CNN for Text Classification in Tensorflow
  7. 7. References https://github.com/abarbosa94/cnn_tensorflow_sentiment http://www.wildml.com/2015/11/understanding-convolutional-neural-networks -for-nlp/ http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in- tensorflow/ https://github.com/yoonkim/CNN_sentence https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To- Understanding-Convolutional-Neural-Networks/ https://arxiv.org/abs/1408.5882 https://arxiv.org/abs/1702.01923 https://arxiv.org/pdf/1605.07333.pdf