A Deep Convolutional Kernel Neural Network based Approach for Stock Market Prediction using Social Media Data-Reference-Cited by-同舟云学术

A Deep Convolutional Kernel Neural Network based Approach for Stock Market Prediction using Social Media Data

Published:2023-05-17 Issue: Volume: Page:
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Container-title:2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
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Author:

Agarwal Varsha¹,Ravi Kumar P²,Shankar Shiva³,Praveena S.⁴,Dubey Vivek⁵,Chauhan Amit⁶

Affiliation:

1. ATLAS SkillTech University,ISME,Mumbai,Maharashtra,India.

2. Kristu Jayanti College (Autonomous), K.Narayanapura,Department of Media Studies,Bangalore,Karnataka,India.

3. Computational Intelligence srmist Kattankulathur,Chengalpattu,Tamil Nadu,India.

4. Mahatma Gandhi Institute of Technology (MGIT),Department of Electronics and Communication Engineering,Hyderabad,Telangana,India.

5. Computer Science and Engineering, Bharat Institute of Engineering and Technology,Hyderabad,Telangana,India.

6. CHRIST (Deemed to be University),Department of Life Sciences,Bengaluru,Karnataka,India.

Publisher

IEEE

Link

Reference26 articles.

3. A tensor-based eLST M model to predict stock price using financial news;tan;Proc Hawaii Int Conf Syst Sci,2019

5. Using machine learning for medium frequency derivative portfolio trading;sharang,2015

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2. The Smart Predictive Analysis of Stock Market Performance using Restricted Boltzmann Machines;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29