Innowise

Description

The NLP algorithm helps analyze the tone of publications about Bitcoins to predict changes in the cryptocurrency's price. Innowise Group has developed the solution for a cryptocurrency exchange to make more accurate predictions about the rise or fall of bitcoin. Since the price trend depends heavily on investor sentiment, some emotional factors also need to be taken into account and rationalized. In addition to standard exchange rate prediction methods, the system analyzes a huge amount of data from social networks and media, correlates it with trading data, and gives a better forecast. Our team of Python developers and data scientists used the NLP algorithm, which allowed the system to collect and analyze data from Twitter posts that mention the word "Bitcoin." The semantic technology processes the logical structure of sentences to identify the most important elements in the text and understand the essence of the discussions. In the next step, the system collects and stores data and then uses the analysis to predict changes in the bitcoin price for a certain period of time (a week or a month). The advantage of the system is that it is constantly learning. For example, it can detect even minute details such as personal humor or sarcasm, making the predictions even more accurate. Technologies and tools: Python, SpaCy, Gensim, Keras, Scikit-learn.