A Survey on Different Classification Techniques Used in Financial News Sentiment Analysis

Abstract: The data mining is the interdisciplinary subfield of computer science. The goal of data mining process is to extract information from the data set and transform it into an understandable form for further use. The objective of this paper is to describe the classification techniques used in financial news sentiment analysis. Sentiment analysis is widely use to movie reviews and social media for a variety of applications, ranging from marketing to customer service. Generally, the aim of sentiment analysis is to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation. The attitude may be bad or good. Sentiment analysis of financial news deals with the identification of positive and negative news.

Keywords: Data Mining; Sentiment analaysis; Classifications; References;