Deep Learning-based Topic-level Examination of Social Media

Author:

Ramachandran K. K.1,Perez-Mendoza Adolfo2,Joshi Kapil3,Parikh Swapnil M.4,Saini Dimple5,Gonzáles José Luis Arias6

Affiliation:

1. DR G R D College of Science,Coimbatore,Tamilnadu,India

2. Universidad Tecnológica del Perú,Perú

3. Uttaranchal Institute of Technology Uttaranchal University,Dehradun,Uttarakhand,India

4. Parul University,Department of PIT,Gujarat,India

5. Sri Balaji University Pune (SBUP),Relations & Dean Department of Operations & SCM

6. Pontifical Catholic University of Peru Oeru,Business department

Publisher

IEEE

Reference57 articles.

1. Modeling interestingness with deep neural networks;gao,2015

2. On On large-scale dynamic topic modeling with nonnegative cp tensor decomposition;ahn;arXiv Prepr arXiv 2001 00631,2020

3. Document informed neural autoregressive topic models;gupta;arXiv Prepr arXiv 1808 03793,2018

4. A unified model for stable and temporal topic detection from social media data;yin;2013 IEEE 29th International Conference on Data Engineering (ICDE),2013

5. Multimodal learning with deep boltzmann machines;srivastava;Advances in neural information processing systems,2012

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