News Background Analyzer and its interface!
The news background has a great influence on the dynamics of the highly volatile cryptomarket. For example, news about hard fork can change the price of specific cryptocurrency by tens of percents.
The correct analysis of the news flow greatly increases the professional efficiency of the trader. In addition, current developments in the field of artificial intelligence enable to automate the work with large data sets which come from the media every day.
Nowadays, advanced companies engaged in the field of machine learning use a variety of technologies and architectural approaches to build systems for automated analysis of text information.
We think that the construction of neural networks based on LSTM architecture is the most appropriate.
Long short-term memory allows calculations of any complexity if there is a required number of nodes.
This approach was chosen because of its high efficiency in tasks related to analysis and clustering of text arrays.
The approach based on this algorithm of machine learning enables to submit the input material for analysis in a convenient format. The specific implementation of the interaction and filling of the nodes is an individual development which is optimized for training on the crossing of user selections.
This architecture allows you to simulate a certain analog of human memory. This neural network will not only find banal patterns from the word combinations but also enables to analyze the relations between different news over time, which will increase its efficiency as a news analyzer a lot.
Now let’s look at this module:
Soon there will be a video where our CEO will explain all the details and how this module will work.
As for now — thank you for your attention!
And we want to remind you that during the Token Sale stage, which will start on 20.06.2018, the discount on FTEC tokens will be 15%. You can apply for WhiteList now to be one of the first who will get FTEC tokens!🚀
Our official websites:
https://ftec.io
https://ftec.ai
https://ftec.tech
https://ftec.company
