참고문헌
- 인공지능 - 위키백과, 우리 모두의 백과사전. https:/ /ko.wikipedia.org/wiki/인공지능 (accessed Sep., 18, 2016).
- CNTK - Computational Network Toolkit. https://cntk.ai/ (accessed Sep., 18, 2016).
- Distributed Machine Learning Toolkit. http://www.dmtk.io/ (accessed Sep., 18, 2016).
- TensorFlow - an Open Source Software Library for Machine Intelligence. https://www.tensorflow.org/ (accessed Sep., 18, 2016).
- Torch - Scientific computing for LuaJIT. http://torch.ch/ (accessed Sep., 18, 2016).
- VELES - Distributed platform for rapid Deep learning application development. https://velesnet.ml/ (accessed Sep., 18, 2016).
- MTN 2016년 3월 16일 인터넷 뉴스, http://news.mtn.co.kr/issue/viewer.mtn?gidx=2016031615445183333 (accessed Sep., 30, 2016).
- Word2Vec 소개, http://deeplearning4j.org/kr/ kr-word2vec (accessed Sep., 18, 2016).
- Mikolov, T., Chen, K., Corrado, G., & Dean, J. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781. (2013).
- 빅데이터 실전 튜토리얼, https://jiafei427.wordpress.com/2015/08/강좌-빅데이터-실전-튜토리얼
- Python 한국어 NLP, http://konlpy-ko.readthedocs.io/ko/v0.4.3/ (accessed Sep., 30, 2016).
- metplotlib, http://matplotlib.org/ (accessed Sep.18, 2016)
- word2vec_basic.py 소스 코드, https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/ord2vec/word2vec_basic.py (accessed Sep., 18, 2016).