  The cryptocurrency is attracting more and more attention because of the
blockchain technology. Ethereum is gaining a significant popularity in
blockchain community, mainly due to the fact that it is designed in a way that
enables developers to write smart contracts and decentralized applications
(Dapps). There are many kinds of cryptocurrency information on the social
network. The risks and fraud problems behind it have pushed many countries
including the United States, South Korea, and China to make warnings and set up
corresponding regulations. However, the security of Ethereum smart contracts
has not gained much attention. Through the Deep Learning approach, we propose a
method of sentiment analysis for Ethereum's community comments. In this
research, we first collected the users' cryptocurrency comments from the social
network and then fed to our LSTM + CNN model for training. Then we made
prediction through sentiment analysis. With our research result, we have
demonstrated that both the precision and the recall of sentiment analysis can
achieve 0.80+. More importantly, we deploy our sentiment analysis1 on
RatingToken and Coin Master (mobile application of Cheetah Mobile Blockchain
Security Center23). We can effectively provide detail information to resolve
the risks of being fake and fraud problems.
