Stock Market Analysis from Social Media and News using Machine Learning Techniques

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Janhavi Deokar; Radhika Baheti; Gauri Shirkande; Sneha Bodake; Archana. K

Stock Market Analysis from Social Media and News using Machine Learning Techniques

Authors: Janhavi Deokar, Radhika Baheti, Gauri Shirkande, Sneha Bodake, Archana. K

Unique Paper ID: 151667
Volume: 8
Issue: 1
PageNo: 478-483

Keywords: Feature selection Forest Classifier Machine Learning Random Sentiment analysis Stock market prediction

Abstract:
Stock market analysis and prediction is a major factor of profit and growth for investors in the business of any field. Investors check the performance of a company before deciding to purchase its stock, to avoid buying stocks which can be risky. Prediction plays an important role in the business of the stock market which is a very complicated and challenging process. Correct prediction of stocks can lead to huge profits for the sellers and the brokers. Prediction of stocks can be done by carefully analyzing the history of the respective stock market. In this paper, we use different machine learning algorithms on social media and financial news data for stock prediction. We can perform feature selection and spam tweets reduction to improve performance and quality of prediction. Random forest classifiers are found to be more consistent and accurate.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 478-483

Stock Market Analysis from Social Media and News using Machine Learning Techniques

Available:https://ijirt.org/article?manuscript=151667

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now