تقرير
On Quantifying Sentiments of Financial News -- Are We Doing the Right Things?
| العنوان: | On Quantifying Sentiments of Financial News -- Are We Doing the Right Things? |
|---|---|
| المؤلفون: | Nath, Gourab, Sood, Arav, Khanna, Aanchal, Wilson, Savi, Manot, Karan, Durbaka, Sree Kavya |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, I.2.7 |
| الوصف: | Typical investors start off the day by going through the daily news to get an intuition about the performance of the market. The speculations based on the tone of the news ultimately shape their responses towards the market. Today, computers are being trained to compute the news sentiment so that it can be used as a variable to predict stock market movements and returns. Some researchers have even developed news-based market indices to forecast stock market returns. Majority of the research in the field of news sentiment analysis has focussed on using libraries like Vader, Loughran-McDonald (LM), Harvard IV and Pattern. However, are the popular approaches for measuring financial news sentiment really approaching the problem of sentiment analysis correctly? Our experiments suggest that measuring sentiments using these libraries, especially for financial news, fails to depict the true picture and hence may not be very reliable. Therefore, the question remains: What is the most effective and accurate approach to measure financial news sentiment? Our paper explores these questions and attempts to answer them through SENTInews: a one-of-its-kind financial news sentiment analyzer customized to the Indian context Comment: submitted to the 56th Annual Convention of ORSI and 10th International Conference on Business Analytics and Intelligence held at the Indian Institute of Science (IISc) during 18-20 December 2023 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2312.14978 |
| رقم الأكسشن: | edsarx.2312.14978 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |