Summary of Understanding the Impact Of News Articles on the Movement Of Market Index: a Case on Nifty 50, by Subhasis Dasgupta et al.
Understanding the Impact of News Articles on the Movement of Market Index: A Case on Nifty 50
by Subhasis Dasgupta, Pratik Satpati, Ishika Choudhary, Jaydip Sen
First submitted to arxiv on: 22 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG); Statistical Finance (q-fin.ST)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to predicting stock prices is presented in this paper, which analyzes the relationship between sentiment analysis of various news topics and the Nifty 50 index. Unlike previous studies that focused on specific stocks or overall sentiment scores, this research bridges the gap by examining how sentiments related to different topics (such as sports, politics, markets) impact the movement of the index. The study shows that sentiment scores from these diverse topic areas have a significant effect on the Nifty 50’s performance. This work is relevant to financial applications and uses techniques like sentiment analysis and machine learning. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps us understand how news about different topics affects the stock market. In the past, people studied how news about specific stocks or overall mood impacts prices. But this study looks at many different types of news (like sports, politics, economy) and how they affect the entire market. They found that these different news topics have a big impact on the market’s performance. |
Keywords
» Artificial intelligence » Machine learning
