The document discusses the use of convolutional neural networks (CNNs) for sentiment analysis and text classification. It highlights the author's background in information systems and provides references to various resources on CNNs and their implementation in sentiment analysis. Key topics include word embeddings and notable academic papers in the field.

1. Deep Learning for Sentiment Analysis
Using Conv Nets for Text Classification

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

4. Sentiment Analysis !

7. What are Convolutional Neural Networks?

11. Word Embeddings !

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

21. 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