Sentigraph (EMOT)

Sentigraph (EMOT) is a system that provides predictive insights aimed at improving future events based on emotion data obtained by analyzing users’ reactions to a given event leveraging artificial intelligence (from IBM Watson), blockchain and Interplanetary File System (IPFS – p2p). A suitable use case is analyzing twitter hashtags using IBM Watson and an algorithm to compute the graph index, gi. The gi is an index that signifies the strength or pulse of the users’ reactions (subscribers) in a given network, which also invariably determines the sustainability of that event or initiative. The gi informs the organization or individual about the viability of their events (represented by a hashtag). The system can analyze equity markets, various review systems, social media, politics, healthcare, and national security via related twitter hashtags.

Whitepaper

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What is Sentigraph

Sentigraph’s first use case is Twitter hashtags. With Sentigraph decentralized app leverages the cognitive strengths of IBM Watson to analyze tweets, pass the feedback from Watson to a Smart Contract that is tasked with the responsibility of ensuring the computation and generation of the Graph Index.

Sentigraph’s provides a solution for users to determine the sentimental value of the community associated with a specific event or topic.

Users of Sentigraph can trust that the computation of the Graph Index, which depicts the emotional level of users’ reactions in their private networks, is not owned and manipulated by one central authority.

Sentigraph also leverages a Smart Contract for the Graph Index.