Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)

MCA

Abstract— Over the past few years, social media use has grown considerably. People utilize the social media platforms on the internet to share their thoughts on a wide range of subjects. The views are presented in a variety of ways, including including blogs, tweets, Facebook postings, online forums, Instagram posts, etc. The act of computationally describing and categorising the opinions stated in the remark, stake, or paper is known such as sentiment evaluation. Trend analysis typically seeks to understand how consumers feel about something particular. Opinion mining has become difficult due about the overabundance of user-generated material on social media. Twitter is used to gather opinions about products, trends, and politics as a microblogging site. The market for cryptocurrencies increased at an unprecedented rate during past several months. Similar to traditional cash, virtual payments for goods and services are made with the help of no centralised authority with bitcoin. Although cryptocurrencies use secure technology to secure genuine and unique operations, this industry is still in its infancy, and significant concerns were highlighted. concerning its use. To get an overall picture of how people feel about digital assets, sentiment analysis is particularly necessary. This research makes use of We perform analyze sentiment and sense of emotion on comments concerning cryptocurrencies, which can be utilized to estimate market prices for digital assets.

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