Sentiment-Analysis-of-Filipino-Tweets

Implementation of proposed deep learning approach discussed in this paper, to sentiment analysis of Filipino tweets.

Keras 2.0

$ pip install keras

using augmented(tweets with repetition) data:

$ python tf_builddata.py

using clean data:

$ python tf_builddata_clean.py

using machine learning approach:

$ cd nbsvm
$ ./oh_my_go.sh

Please cite this study in your publications if it helps your research. Here is an example BibTeX entry:

@misc{MinaFilipinoSentiment,
  title={Sentiment Analysis of Filipino Tweets Using Recurrent Neural Network},
  author={Mina, Rusty John Lloyd and Atienza, Rowel},
  year={2017},
  publisher={GitHub},
  howpublished={\url{https://github.com/iamRusty/Sentiment-Analysis-of-Filipino-Tweets}},
}

1. Raw and Unprocessed JSON data of tweets (around 8GB)
2. Scripts for processing JSON of tweets to text of tweets
3. Scripts for getting stream of Tweets

NB-SVM Implementation used in this paper is based off the work by Grégoire Mesnil Naive Bayes SVM.

Naive Bayes SVM is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.