Stock Price Prediction Using Optimal Network Based Twitter Sentiment Analysis-Reference-Cited by-同舟云学术

Stock Price Prediction Using Optimal Network Based Twitter Sentiment Analysis

Published:2022 Issue:2 Volume:33 Page:1217-1227
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Kranthi Kumar Singamaneni,Alolo Abdul-Rasheed Akeji Alhassan,Mithun Tiruvedula,Ambika M.,Jabasheela L.,Walia Ranjan,Sakthi U.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v33n2/46775/pdf

Reference23 articles.

1. Twitter as a tool for forecasting stock market movements: A short-window event study;Nisar;Journal of Finance and Data Science,2018

2. A gradient boosted decision tree-based sentiment classification of twitter data;Paulraj;International Journal of Wavelets, Multiresolution and Information Processing, World Scientific,2020

3. Addressing semantics standards for cloud portability and interoperability in multi cloud environment;Ramalingam;Symmetry,2021

4. An intelligent cognitive-inspired computing with big data analytics framework for sentiment analysis and classification;Kumar;Information Processing & Management,2022

5. Design a FPGA, fuzzy based, insolent method for prediction of multi-diseases in rural area;Satpathy;Journal of Intelligent & Fuzzy Systems,2019

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