On Quantifying Sentiments of Financial News -- Are We Doing the Right
  Things?
Gourab Nath Arav Sood Aanchal Khanna Savi Wilson Karan Manot Sree Kavya Durbaka
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