1 |
M. Nam, E. Lee, and J. Shin, "A Method for User Sentiment Classification using Instagram Hashtags," Journal of Korea Multimedia Society, Vol. 18, No. 11, pp. 1391-1399, 2015.
DOI
|
2 |
A. Beykikhoshk, O. Arandjelovic, D. Phung, and S. Venkatesh, "Discovering Topic Structures of a Temporary Evolving Document Corpus," Knowledge and Information Systems, Vol. 55, pp. 599-632, 2018.
DOI
|
3 |
K. Kowsari, K.J. Meimandi, M. Heidarysafa, S. Mendu, L. Barnes, and D. Brown, “Text Classification Algorithms: A Survey,” Information, Vol. 10, No. 3, pp. 1-68, 2019.
|
4 |
N. Pladeau, and E. Davoodi, "Comparison of Latent Dirichlet Modeling and Factor Analysis for Topic Extraction," Proceeding of the Hawaii International Conference on System Sciences, pp. 615-623, 2018.
|
5 |
J. Rashid, S.M. Shah, A. Irtaza, T. Mahmood, M. Shafiq, and A. Gardezi, "Topic Modeling Technique for Text Mining Over Biomedical Text Corpora Through Hybrid Inverse Documents Frequence and Fuzzy K-Means Clustering," IEEE Access, Vol. 7, pp. 146070-146080, 2019.
DOI
|
6 |
J. Clark, and F. Provost, "Unsupervised Dimension Reduction versus Supervised Re-gularization for Classification from Sparse Data," Data Mining and Knowledge Discovery, Vol. 33, pp. 871-916, 2019.
DOI
|
7 |
H. Yuening, J.B. Graber, B. Satinoff, and A. Smith, "Interactive Topic Modeling," Machine Learning, Vol. 95, pp. 423-469, 2014.
DOI
|
8 |
H. Jelodar, Y. Wang, C. Yuan, X. Feng, X. Jiang, Y. Li, et al., "Latent Dirichlet Allocation (LDA) and Topic Modeling: Models, Application, A Survey," Multimedia Tools and Applications, Vol. 78, pp. 15169-15211, 2019.
DOI
|
9 |
Z. Gou, Z. Huo, K. Vakili, Y. Liu, and Y. Yang, "A Method for Constructing Supervised Topic Model Based on Term Frequency-Inverse Topic Frequency," Symmetry, Vol. 11, pp. 1-9, 2019.
DOI
|
10 |
T.R. Hannigan, R.F. Haans, K. Vakili, H. Tchalian, V.L. Glaser, M.S. Wang, et al., "Topic Modeling in Management Research," Academy of Management Annals, Vol. 13, No. 2, pp. 586-632, 2019.
DOI
|
11 |
D.M. Blei, A.Y. Ng, and M.I. Jordan, "A Latent Dirichlet Allocation," Journal of Machine Learning Research, Vol. 3, pp. 993-1022, 2003.
|
12 |
S. Deerwester, S.T. Dumais, G.W. Furnas, T.K. Landauer, and R. Harshman, "Indexing by Latent Semantic Analysis," Journal of American Society for Information Science, Vol. 41, No. 6, pp. 391-407, 1990.
DOI
|
13 |
T. Hofmann, "Probabilistic Latent Semantic Indexing," Proceeding of International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 50-57, 1999.
|
14 |
M.K. Dalal, X. Chuangbai, I. Izahar, and T. Shanshan, "Automatic Text Classification: A Technical Review," International Journal of Computer Applications, Vol. 28, No, 2, pp. 37-40, 2011.
DOI
|
15 |
H. Sundus, and R. Muhammed, and M. Shaikh, "Comparing SVM and Naive Bayes Classifiers for Text Categorization with Wikitology as Knowledge Enrichment," Proceeding of IEEE International Conference, pp. 1-3, 2012.
|
16 |
M.L. Prabha, and G.U. Srikanth, "Survey of Sentiment Analysis Using Deep Learning Techniques," Proceeding of International Conference on Innovations, in Information and Communication Technology, pp. 1-9, 2019.
|
17 |
R.K. Roul, J.K. Sahoo, and K. Arora, "Modified TF-IDF Term Weighting Strategies for Text Categorization," Proceeding of IEEE India Council International Conference, pp. 1-6, 2017.
|