An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight

Siddhant Singh, Archit Thanikella. An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight. In Donatello Conte, Ana L. N. Fred, Oleg Gusikhin, Carlo Sansone, editors, Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings. Volume 1875 of Communications in Computer and Information Science, pages 84-100, Springer, 2023. [doi]

@inproceedings{SinghT23-2,
  title = {An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight},
  author = {Siddhant Singh and Archit Thanikella},
  year = {2023},
  doi = {10.1007/978-3-031-39059-3_6},
  url = {https://doi.org/10.1007/978-3-031-39059-3_6},
  researchr = {https://researchr.org/publication/SinghT23-2},
  cites = {0},
  citedby = {0},
  pages = {84-100},
  booktitle = {Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings},
  editor = {Donatello Conte and Ana L. N. Fred and Oleg Gusikhin and Carlo Sansone},
  volume = {1875},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-39059-3},
}