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

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dc.contributor.authorAgarwal, Varsha
dc.date.accessioned2025-05-21T05:11:59Z
dc.date.available2025-05-21T05:11:59Z
dc.date.issued2023-06-08
dc.descriptionISME
dc.description.abstractSeveral economists and social scientists have held a longstanding fascination with the practice of stock market prediction. As the stock market is essentially uncontrollable chaos, many experts believe that trying to predict it is futile. Due to the complexity of the numerous factors, accurate stock price predictions are notoriously difficult to achieve. While the market behaves more like a scale than a voting machine over the long run, its behavior may be predicted with some certainty. Information from Twitter is used into the algorithm. In this proposed method, a convolutional extreme learning machine model with kernel support was introduced (CKELM). To improve feature extraction and data classification, the CKELM model builds on the KELM’s hidden layer by adding convolutional and subsampling layers. The convolutional layer and the subsampling layer do not employ the gradient technique to fine-tune their parameters because some designs worked well with random weights. When compared to popular models like CNN and KELM, The proposed model fares quite well, with an accuracy of around 98.3 percent.
dc.identifier.citationV. Agarwal, P. Ravi Kumar, S. Shankar, S. Praveena, V. Dubey and A. Chauhan, "A Deep Convolutional Kernel Neural Network based Approach for Stock Market Prediction using Social Media Data," 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 78-82, doi: 10.1109/ICICCS56967.2023.10142522.
dc.identifier.issn2768-5330
dc.identifier.uri10.1109/ICICCS56967.2023.10142522
dc.identifier.urihttps://atlasuniversitylibraryir.in/handle/123456789/785
dc.language.isoen
dc.publisherIEEE
dc.subjectSocial networking
dc.subjectExtreme learning machines
dc.subjectComputational modeling
dc.subjectNeural networks
dc.subjectPrediction algorithms
dc.subjectFeature extraction
dc.subjectData models
dc.subjectConvolutional Neural Network (CNN)
dc.subjectExtreme Learning Machine (ELM)
dc.subjectKernel Extreme Learning Machine (KELM)
dc.titleA Deep Convolutional Kernel Neural Network based Approach for Stock Market Prediction using Social Media Data
dc.typeArticle

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