1 |
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. "Distributed Representations of Words and Phrases and their Compositionality". In Proceedings of NIPS, 2013.
|
2 |
J. McAuley, C. Targett, Q. Shi, and A. van den Hengel. "Image-based recommendations on style and substitutes". Proceedings of the 38st annual international ACM SIGIR conference., 2015.
|
3 |
J. J. McAuley, R. Pandey, and J. Leskovec. "Inferring networks of substituable and complementary products". In KDD, 2015.
|
4 |
R. K. Bayot and T.Goncalves. "Author profiling using svms and word embedding averages". In CLEF, 2016.
|
5 |
Y. Belinkov, M. Mohtarami, S. Cyphers, and J. Glass. "VectorSLU: A continuous word vector approach to answer selection in community question answering systems". In Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval, 2015.
|
6 |
S. Y. Jo. (2016, August 16). Fashion Journal &Textile Life. "Forecast of domestic fashion market in 2016". Retrieved January,16 2017 from http://okfashion.co.kr/print_paper.php?number=44812&news_article=nm_news_article&target=print_paper
|
7 |
W. James C. and A. L. Ostrom. "The Internet as information minefield: An analysis of the source and content of brand information yielded by net searches". In Journal of Business Research, 56(11), 907-14, 2003.
DOI
|
8 |
B. Bickart and R. M. Schindler. "Internet forums as influential sources of consumer information". In Journal of Interactive Marketing, pp. 314 40, 2001.
|
9 |
J. A. Chevalier and D. Mayzlin. "The Effect of Word of Mouth on Sales: Online Book Reviews". In NBER working paper, 2003
|
10 |
J. S. Kim. "Emotion Prediction of Document using Paragraph Analysis". In Journal of Digital Convergence, pp.249-255, 2014
|
11 |
B. Xue et al."A study on sentiment computing and classification of Sina Weibo with Word2vec". In IEEE Int. Cong on Big Data, pp. 358-363, 2014.
|
12 |
J. S. Kim. "Emotion Prediction of Paragraph using Big Data Analysis". In Journal of Digital Convergence, pp.267-273, 2016
|
13 |
L. Zaho and C. Li."Ontology Based Opinion Mining for Movie Reviews". In Springer, 2009.
|
14 |
P. Baranikumar and N. Gobi. "Feature Extraction of Opinion Mining Using Ontology". In International Journal of Advances in Computer and Electronics Engineering,1,(pp. 18-22), 2016.
|
15 |
Zhang, D., Xu, H., Su, Z., & Xu, Y. "Chinese comments sentiment classification based on word2vec and svm perf". Expert Systems with Applications, 42(4), 1857-1863. 2016.
DOI
|
16 |
Niu, T., Zhu, S., Pang, L., & El Saddik, "A. Sentiment analysis on multi-view social data". In Multimedia modeling (pp. 15-27) at Springer, 2016.
|
17 |
Matsumoto, S., Takamura, H., & Okumura, M. "Sentiment classification using word sub-sequences and dependency sub-trees". In Advances in knowledge discovery and data mining (pp. 301-311) at Springer, 2005.
|
18 |
Tripathy, A., Agrawal, A., & Rath, S. K. "Classification of sentiment reviews using n-gram machine learning approach". Expert Systems with Applications, 57, 117-126. 2016.
DOI
|
19 |
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. "Efficient Estimation of Word Representations in Vector Space". In Proceedings of Workshop at ICLR, 2013.
|