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Gauge the Sentiments of
Users' Reactions to Future
Events

With an enhanced algorithm and leveraging the cognitive abilities of IBM Watson, analyzing twitter hashtags and instagram content has not produced better predictive insights.


We can improve our future via cognition, sentiment analysis and the blockchain.

HOW IT WORKS?

Process Flow

Intrigue the user with useful predictive insights by combining Watson and the graph index.

01.

Twitter Hashtags

Using the app, an authenticated user enters a twitter hashtag of interest, to analyze its pulse

Watson Tone Analyzer

Associated tweets are sent to Watson's Tone Analyzer, and sentiment coordinates are returned

Algorithm

The graph index (gi) is computed representing the hashtag's cumulative sentiment level

Smart Contract & IPFS

The algorithm is decentralized in the blockchain - transparency. The gi is persisted to a private IPFS network since they are privately owned by the user

Gauge

The gauge reports the computed gi informing the user about the "pulse" of the associated event (hashtag)

Further Insights

Thus, the grapher strategizes on how best to respond to the audience, and also learns from the experience

Major
Use Cases

Any individual or groups of persons interested in finding out the real-time outcome of a particular event (present or future), based on community sentiments surrounding that event.

For instance, an artist seeking to know if a music concert is favored by her fans. Another example is an active investor seeking to analyze investor sentiments corresponding to Apple stock (#AAPL)

Politics

Online gaming

Equity markets

Sports betting

Reviews and polling systems

Global & national security

Crime prediction & prevention

Smart cities

Medicine & healthcare systems

Tokenomics

EMOT tokens

EMOT tokens are the official utility tokens of the Sentigraph platform. An authenticated user will be required to use tokens offered during the ICO or can purchase EMOT tokens from the in-app vault.

EMOT will be used to query the app and has a finite availability of 1, 000, 000, 000 (1 billion) tokens of which 600, 000, 000 (60%) will be circulated to the public through the token distribution events.

EMOT will be used to analyze Twitter hashtags, make calls to IBM Watson, and finally compute the Graph Index, which is a representation of the sentiment level of users' reactions to an event. EMOT will also be used to participate in the EVP game.

All tokens to executive team will be locked down for 12 months, afterwhich a quarter of their allotment will be released quaterly until completed.

1 ETH

28,000 EMOT

Emotional Volatility Prediction - EVP

EVP is a Smart Contract that allows participants predict the sentiment direction of hashtags using EMOT tokens. This will incentivize our platform members to speculate the emotional volatility associated with hashtags. All successful predictions will be compensated with our tokens.

Distribution

60%

Public

20%

Team

10%

Ecosystem

5%

Growth
Initiatives

2%

Marketing/
PR Team

2%

Advisors &
Bounty Hunters

1%

Reserves

FAQ
General

FAQ: General

Roadmap

2017

Q4:

We did: Market research, Usencase analysis and gathering, Partnership with Vanbex, Idea tweaking, v1 planning/development, team building, Algorithm, whitepaper v1, landing page

2018

Q1:

Token Smart Contract, Token audit, Team growth, advisor outreach, v2 development, Whitepaper v2, One pager v1, Marketing/PR, Hashtag betting Smart Contract (Testnet), Private sale, ICO smart contract and dashboard

Q2:

ICO main event, token issuance, deploy v2 to mainnet, Sentigraph app design/dev targeting iOS/Google

Q3:

Push v2 to iOS/Google Store, Strategic partnership with Twitter, IBM, Music/News Platforms

Q4:

Investor outreach, media coverage, Live seminars (Facebook live, Youtube promotional videos), Crypto/d10e conferences in several countries/cities (Zug, Davos, Cayman, NY, FL, London, Berlin etc).

2019

Q1:

Corporate outreach & integration, increase team (hire data scientist/ML Engineers, mathematicians), Enhance algorithm (Smart Contract) for GI computation, Sentigraph Kaggle hackatons, seminars, meetups.

Q2:

v3, Corporate Social Responsibilites (Blockchain, Math, Data Science exposure to high school kids in developing nations in Africa, Asia, and Eastern Europe).

Q3:

Establishing and Launching Sentigraph University - For further research on sentiments, predictive analyses/insights, and ML and how to positively impact the social environment and global economy.

Q4:

Explore crime prediction via sentiment data analysis, national security, genetic sentiment analysis - cancer research, IoT-Sentiment based devices and wearables.

Partnership