Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)

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Sentiment Analysis of Stocks Based on News Headlines Using NLP

Authors
Aastha Saxena1, Arpit Jain1, Prateek Sharma1, Sparsh Singla1, Amrita Ticku1, *
1Computer Science and Engineering Department, Bharati Vidyapeeth College of Engineering, New Delhi, India
*Corresponding author. Email: amritaticku27@gmail.com
Corresponding Author
Amrita Ticku
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_12How to use a DOI?
Keywords
Natural Learning Process; Convolution Neural Network; Gated Recurrent units
Abstract

In todays’ world everyone starting from a child to an adult is studying stocks and is finding ways to earn more by studying the patterns of the market. Stock market is a compound interrelated system of various investors. It fluctuates frequently and hence is hard to predict what is yet to come. All the companies worldwide rely on these forecasts and speculations so that they can increase their profits. Everyday news on the economic front plays a vital role in defining the jump or drop in the prices of stocks. The market news helps the investor excessively in determining his bidding as it is immensely rich in information. In this study, we extract useful information from news headlines of a particular company to investigate the immediate impact of it on the company’s stock growth. Having the text based dataset we use NLP and compare two approaches using two different algorithms which both collectively determine the sentiment of the news headline (whether it is positive/negative/neutral) in lieu with the company stocks.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
5 December 2022
ISBN
978-94-6463-074-9
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aastha Saxena
AU  - Arpit Jain
AU  - Prateek Sharma
AU  - Sparsh Singla
AU  - Amrita Ticku
PY  - 2022
DA  - 2022/12/05
TI  - Sentiment Analysis of Stocks Based on News Headlines Using NLP
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 124
EP  - 135
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_12
DO  - 10.2991/978-94-6463-074-9_12
ID  - Saxena2022
ER  -