The analysis is realized till March 05th 2018

 The NeuroChain Telegram was analyzed by the team in order to extract information and exploitable trends for secured results. The used algorithm is developed by NeuroChain team. As a reminder, Whitelist we be closed on March 12th, 2018 at 3.00 pm UTC. 

NeuroChain Telegram semantic analysis: sentiment analysis

  1. From the beginning

The first axe of analysis is the sentiment of messages (negative, neutral, positive) expressed by the Telegram members. The results are presented in the following figure.  The figure shows that the largest part of the messages has a score between 1 and 8, which means that most of the messages express a positive sentiment.To illustrate the positive trend of the telegram messages, few statistics are computed:  One can see that the mean of scored messages is positive (+0.7184) with maximum of 8.35. this confirms the positive sentiments expressed in telegram regarding to NeuroChain project. The analysis of the negative messages shows a maximum of -3.25 which not a high value. 

  1. From last week

But if we focus the analysis only on the last week, we can see a huge number of positive comments in Telegram. This means that our community is satisfied by our project and the team.  

Contribution analysis

The team has also analyzed the messages in order to establish a “Top Ten” contributors to NeuroChain Telegram.  Congratulations to “@Cryptocolors” the winner of telegram involvement. 

Conclusion

As a conclusion, we can stress that our telegram group has expressed a global positive sentiment with an average score of +0.71.  

Photo credit: Splitshire
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