References
- Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. “Efficient estimation of word representations in vector space.” CoRR, abs/1301.3781, 2013.
- Yoav Goldberg and Omer Levy. “word2vec Explained: Deriving Mikolov, et al.’s Negative-Sampling Word-Embedding Method.” arXiv:1402.3722 [cs.CL], 2014.
- Nihar Ranjan, Kaushal Mundada, Kunal Phaltane and Saim Ahmad. “A Survey on Techniques in NLP.” International Journal of Computer Applications, Volume 134 – No.8, January 2016. doi: https://doi.org/10.5120/ijca2016907355
- Wang, Y., Hou, Y., Che, W. et al. From static to dynamic word representations: a survey. Int. J. Mach. Learn. & Cyber. (2020).
- Bamler, Robert and Stephan Mandt. “Dynamic Word Embeddings.” ICML (2017).
- Přibáň, Pavel. “Multilingual Sentiment Analysis.” Multilingual Sentiment Analysis The State of the Art and the Concept of Ph.D. Thesis (2020).
- Tal Linzen, Emmanuel Dupoux, and Yoav Goldberg. 2016. “Assessing the ability of lstms to learn syntax-sensitive dependencies.” arXiv preprint arXiv:1611.01368.
- Pennington, Jeffrey, Richard Socher, and Christopher D. Manning. “Glove: Global vectors for word representation.” Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP). 2014.
- Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer. “Deep contextualized word representations.” arXiv:1802.05365 [cs.CL]
- Pulkit Mehndiratta & Devpriya Soni (2019) Identification of sarcasm using word embeddings and hyperparameters tuning, Journal of Discrete Mathematical Sciences and Cryptography, 22:4, 465-489, DOI:https://doi.org/10.1080/09720529.2019.1637152.
- Bharti Sharma, Minakshi Tomer, Kriti Kriti. (2020) Extractive text summarization using F-RBM. Journal of Statistics and Management Systems 23:6, pages 1093-1104. doi: https://doi.org/10.1080/09720510.2020.1808353
- E. Rajesh Kumar, K.V.S.N. Rama Rao, Soumya Ranjan Nayak & Ramesh Chandra (2020) Suicidal ideation prediction in twitter data using machine learning techniques, Journal of Interdisciplinary Mathematics, 23:1, 117-125,DOI: https://doi.org/10.1080/09720502.2020.1721674.
- Neha Bansal, Arun Sharma & R. K. Singh (2020) Recurrent neural network for abstractive summarization of documents, Journal of Discrete Mathematical Sciences and Cryptography, 23:1, 65-72, DOI: https://doi.org/10.1080/09720529.2020.1721873.
- Tayyab Khan, Karan Singh, “TASRP: a trust aware secure routing protocol for wireless sensor networks“ International Journal of Innovative Computing and Applications, Inderscience Publishers (IEL), Vol 12, issue 2, pp 108-122, 2021 doi: https://doi.org/10.1504/IJICA.2021.113750
- Gopal Singh Rawat, Karan Singh, “Joint beacon frequency and beacon transmission power adaptation for internet of vehicles“ Transactions on Emerging Telecommunications Technologies, e4124, 2020.
- Shankar, V. and Singh, K., 2019. An Intelligent Scheme for Continuous Authentication of Smartphone Using Deep Auto Encoder and Softmax Regression Model Easy for User Brain. IEEE Access, Vol. 7, pp.48645-48654, Electronic ISSN: 2169-536, IEEE Access, April 20.