How Machine Learning, Deep Learning and Artificial Intelligence will change STEEM blockchain? Part#2

in #stem7 years ago

ML/DL can be applied for lots of data mining for Social Network Analysis. For example, a media company wants to know number of artists and photographers on STEEM blockchain. Then it can send directed advertising message through SBD or STEEM. Currently, this massive marketing are used by voting votes, resteem services and off course, spammers.

Similarly, ML/DL can be used for identify the number of bloggers, video-bloggers, traders, etc. and advertisements can be directed.
haejin.jpg

For example, using API from STEEM word cloud, identity can be easily determined. For example, if you search with user @haejin (click here), you can see the two prominent words are "elliot" and "wave". Incidentally, he is an Elliott wave trader and prominent technical analyst on Steemit. Therefore, next two prominent words are "technical" and "analyst". You need an AI to identify that he is an Technical Analyst, since Technical and Analyst are two words that can be used as different pair.

http://www.steemreports.com/ provide very useful APIs for the developers and businesses that can be used for ML/DL/AI/BDA/SNA purpose.

I use STEEM blockchain rather than steemit since steemit is the most popular app on the blockchain. There are other apps such as busy.org, chainbb.com, esteem, zappl, Dtube, Dmania etc. Moreover, STEEM is more than cryptocurrency and smart-contract (i.e. upcoming SMT), it is treasure trove of open source of data that can be used for numerous research purpose.

Previous part: https://steemit.com/stem/@riseofth/how-machine-learning-deep-learning-and-artificial-intelligence-will-change-steem-blockchain-part-1

steem-calm.png

Thanks for reading.
@riseofth
Cryptominer since 2013, occasional trader and blogger

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