Natural Language Processing-Based Financial Time Series Forecasting: Utilizing Sentiment Analysis for Improved Stock Price Prediction

Natural Language Processing-Based Financial Time Series Forecasting: Utilizing Sentiment Analysis for Improved Stock Price Prediction

This study explores the application of natural language processing (NLP) techniques in financial time series forecasting, specifically in predicting stock prices. Historical stock price data and textual data from financial news articles and social media sources were collected, and TextBlob was used...

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Bibliographic Details
Main Authors: Albert Ntumba Nkongolo, Yae Olatoundji Gaba, Kafunda Katalay Pierre, Esther Matendo Mabela, Ben Mbuyi Mpumbu
Format: Article
Language:English
Published: Pusat Penelitian dan Pengabdian Masyarakat (P3M), Politeknik Negeri Cilacap 2025-06-01
Series:Journal of Innovation Information Technology and Application
Subjects:
time series forecasting
nlp
sentiment analysis
machine learning
stock price prediction
Online Access:https://ejournal.pnc.ac.id/index.php/jinita/article/view/2290
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