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.

Technology

Deep Learning for Sentiment Analysis
Using Conv Nets for Text Classification

Who am I?
Andre Barbosa
Information Systems Bachelor from EACH/USP
Data Scientist/ML Engineer at Elo7

Further Details
Yoon Kim
Convolutional Networks for
Sentence Classification
Denny Britz
Implementing a CNN for Text
Classification in Tensorflow

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

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