Social Media Sentiment Analysis of Stock Market on Tweets
- Title
- Social Media Sentiment Analysis of Stock Market on Tweets
- Creator
- Yadav K.; Vijayalakshmi S.
- Description
- Sentiment categorization is utilized in today's world to analyze social media data about the stock market and estimate its future stock movement. We investigated the possible influence of 'public sentiment' on 'market trends' using sentiment analysis and machine learning concepts. Due to the enormous number of components involved, such as economic situations, political events, and other environmental factors that may affect the stock price, stock price prediction is an exceedingly complicated and challenging process. Because of these considerations, evaluating a single factor's influence on future pricing and trends is challenging. As more individuals spend time online, the popularity and impact of numerous social media platforms has skyrocketed in recent years. Twitter is one such social media tool that has exploded in popularity. Twitter is a terrific place to stay up to speed on current societal trends and perspectives. The 'Twittersphere' is a melting pot that supports diverse viewpoints, emotions, and trends, and it has the potential to be a crucial influencer in influencing and shaping perceptions. 2022 IEEE.
- Source
- 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1977-1980.
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- analyze; estimate; machine learning; recommendation system; sentiment analysis
- Coverage
- Yadav K., Christ University, Dept. of Data Science, Maharashtra, Pune, India; Vijayalakshmi S., Christ University, Dept. of Data Science, Maharashtra, Pune, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166543789-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Yadav K.; Vijayalakshmi S., “Social Media Sentiment Analysis of Stock Market on Tweets,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20259.