Market Trend Discovery Through Deep ‎Learning-Driven Twitter Sentiment for ‎Stock Forecasting

Mr. Lukesh Kadu; Dr. M. M. Deshpande; Dr. V. N. Pawar

doi:10.14419/c1qpgz81

Article Details

Market Trend Discovery Through Deep ‎Learning-Driven Twitter Sentiment for ‎Stock Forecasting

Authors:

Mr. Lukesh Kadu | Dr. M. M. Deshpande | Dr. V. N. Pawar

Publisher:

Science Publishing Corporation

Journal:

International Journal of Basic and Applied Sciences Vol.14 Issue 7, pp.388-395

Document Type:

Article

Publication Date:

11/2025

Document Language:

English

Document ID (Org No.):

2001387581

pISSN:

2227-5053

DOI:

10.14419/c1qpgz81

Keywords:

Abstract:

 Short-range stock price forecasting presents considerable challenges due to the multifaceted and rapidly evolving nature of market signals. ‎Twitter, as a social media platform, delivers immediate public sentiment, serving as a valuable complement to traditional price-based metrics. This research introduces an operational framework merging Twitter sentiment classification with time-series forecasting that integrates ‎both sentiment and technical market features. The sentiment analysis component employs an ensemble approach combining LSTM, CNN, ‎and fine-tuned BERT architectures. These sentiment indicators feed into a neural network designed for time-series analysis to forecast directional price movements. Testing on datasets from January 2020 through December 2022 yielded 87.3% accuracy in sentiment classification ‎and 82.1% accuracy in directional prediction. These outcomes indicate that well-processed social media sentiment enhances short-term trading signals when combined with conventional technical indicators.

Article Details

Market Trend Discovery Through Deep ‎Learning-Driven Twitter Sentiment for ‎Stock Forecasting

Authors:

Mr. Lukesh Kadu | Dr. M. M. Deshpande | Dr. V. N. Pawar

Publisher:

Science Publishing Corporation

Journal:

International Journal of Basic and Applied Sciences Vol.14 Issue 7, pp.388-395

Document Type:

Article

Publication Date:

11/2025

Document Language:

English

Document ID (Org No.):

2001387581

pISSN:

2227-5053

DOI:

10.14419/c1qpgz81

Sentiment Analysis

Deep Learning

Stock Pre-Diction

Twitter

LSTM

BERT

Issues

Article Details

Market Trend Discovery Through Deep ‎Learning-Driven Twitter Sentiment for ‎Stock Forecasting

Authors: Mr. Lukesh Kadu | Dr. M. M. Deshpande | Dr. V. N. Pawar

Publisher: Science Publishing Corporation

Journal: International Journal of Basic and Applied Sciences Vol.14 Issue 7, pp.388-395

Document Type: Article

Publication Date: 11/2025

Document Language: English

Document ID (Org No.): 2001387581

pISSN: 2227-5053

DOI: 10.14419/c1qpgz81

Sentiment Analysis

Deep Learning

Stock Pre-Diction

Twitter

LSTM

BERT

Issues

Authors:

Mr. Lukesh Kadu | Dr. M. M. Deshpande | Dr. V. N. Pawar

Publisher:

Science Publishing Corporation

Journal:

International Journal of Basic and Applied Sciences Vol.14 Issue 7, pp.388-395

Document Type:

Article

Publication Date:

11/2025

Document Language:

English

Document ID (Org No.):

2001387581

pISSN:

2227-5053

DOI:

10.14419/c1qpgz81