Analysis of Financial News Using Natural Language Processing and Artiﬁcial Intelligence
- Aditya Khant ,Harvey Mudd College Claremont , California, USA (firstname.lastname@example.org)
- Mahendra Mehta ,NeuralTechSoft Goregaon, Mumbai, India (email@example.com)
The task of analysis of ﬁnancial news uses stateof-the-art Natural Language Processing (NLP) and Artiﬁcial Intelligence (AI) techniques. The paper demonstrates how NLP techniques can be used to provide succinct summaries, identify keywords and determine sentiment of a certain news article. These features can then be used to make informed decisions that are based on recent, relevant reports. This paper also exhibits a methodology of identifying impact investment using a Naive Bayes Classiﬁer, which can be extended to other ﬁnancial terminology. We ﬁnd that the usage of NLP and AI techniques such as sentiment analysis and keyword extraction enhance the information presented in online news articles by ﬁltering out irrelevant content.