Deep Learning and Emotion Analysis-Based Cryptocurrency Forecasting

Computer Science

In recent years, people utilize social media channels to rise their views on almost any issue. These views are conveyed through a number of mediums, including blogs, tweets, Facebook posts, internet forums, Instagram posts, and so on. Sentiment analysis is a process of computationally defining and categorizing the views expressed in a remark, post, or paper. The persistence of sentiment analysis is often to discover how customers feel about a certain product or service. The cryptocurrency industry has grown at an unprecedented rate in recent times. Cryptocurrency, like traditional cash, allows for virtual payments for goods and services with no centralized authority. Although bitcoin uses cryptographic techniques to assure legitimate and one-of-a-kind transactions, the industry is still in its infancy Sentiment analysis is very useful for gaining an overall picture of how people feel about cryptocurrency. In this sense, this work makes use of sentiment analysis and emotion detection on tweets concerning cryptocurrencies, which are widely used to estimate market prices for cryptocurrencies. In this sense, this work makes use of sentiment analysis and emotion detection on tweets concerning cryptocurrencies, which are used to estimate market prices for cryptocurrencies.

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