Sentiment analysis of financial news using unsupervised approach

Anita Yadav, C K Jha, Aditi Sharan, Vikrant Vaish
2020 Procedia Computer Science  
Sentiment analysis aims to determine the sentiment strength from a textual source for good decision making. This work focuses on application of sentiment analysis in financial news. The semantic orientation of documents is first calculated by tuning the existing technique for financial domain. The existing technique is found to have limitations in identifying representative phrases that effectively capture the sentiment of the text. Two alternative techniques -one using Noun-verb combinations
more » ... d the other a hybrid one, are evaluated. Noun-verb approach yields best results in the experiment conducted. Abstract Sentiment analysis aims to determine the sentiment strength from a textual source for good decision making. This work focuses on application of sentiment analysis in financial news. The semantic orientation of documents is first calculated by tuning the existing technique for financial domain. The existing technique is found to have limitations in identifying representative phrases that effectively capture the sentiment of the text. Two alternative techniques -one using Noun-verb combinations and the other a hybrid one, are evaluated. Noun-verb approach yields best results in the experiment conducted.
doi:10.1016/j.procs.2020.03.325 fatcat:b3seqfuqkndcfcog73suwdavpy