Publication Date: 2024/02/10
Abstract: Moving ahead in this era of data, there is a lot of information, which if used in the right way, can be used in the financial domain as well, to determine the market. This prediction can lead to large profits and help in understanding the complex financial markets. Sentiment analysis is a kind of data mining technique, which can be used to process and understand the textual content to derive meaningful insights. In this paper, for the purpose of sentiment analysis, natural language processing will be used, which is the area of machine learning in the rise. The techniques will be applied here onto a large dataset from Twitter and hence, analyse the public opinions about the financial markets.
Keywords: Predicting finances, Natural Language Processing(NLP),Financial Markets, Analysis of Sentiments, Mining Text.
DOI: https://doi.org/10.5281/zenodo.10643367
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24FEB087.pdf
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