Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.
DLTA will leverage the power of machine learning, performing a full analysis on crypto news and big announcements that can reverse the current price trend. This will be achieved by using libraries like TextBlob/Natural Language Toolkit. This will give us much more precise evaluation and more successful results.
As DLTA gets smarter in news analysis it will also develop new skills. Analyzing news and texts, scrapping large amounts of data and making decisions based on this is in the core of event prediction. So if everything goes as expected the superpowers of DLTA can be used not only for crypto news analysis, but for all kind of text analysis, which is a useful and expensive process.
Whitepaper: https://www.docdroid.net/tQlA2mm/whitpaper.pdf
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