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.
Intrigue the user with useful predictive insights by combining Watson and the graph index.
Using the app, an authenticated user enters a twitter hashtag of interest, to analyze its pulse
Associated tweets are sent to Watson's Tone Analyzer, and sentiment coordinates are returned
The graph index (gi) is computed representing the hashtag's cumulative sentiment level
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
The gauge reports the computed gi informing the user about the "pulse" of the associated event (hashtag)
Thus, the grapher strategizes on how best to respond to the audience, and also learns from the experience
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)
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.
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.
Sentigraph is a system that provides predictive insights aimed at improving future events based on emotion data obtained by analyzing users’ reactions in a given event leveraging Artificial Intelligence and blockchain. A suitable use case is analyzing twitter hashtags using IBM’s Watson and an algorithm to compute the graph index, gi. The system can analyze equity markets, various review systems, social media, politics, healthcare, precog, and security via related twitter hashtags.
The platform captures user’s entry of a particular Twitter hashtag (event) of interest. Corresponding tweets are shipped to IBM Watson’s analyzers, which returns the sentiment coordinates for each tweet. The graph index is computed via an algorithm, which denotes the cumulative sentiment of the hashtag. The lower the index, the better the pulse.
Corporations, small business, and individuals seeking to gauge the overall sentiments of a given event, and engage in strategic decisions based on the outcome.
Yes. At the moment, Sentigraph is a web application tailored for optimal performance in both desktop and mobile devices. Android and iOS instances are currently being developed and would be submitted/released soon.
EMOT will be used to compute the graph index of events (first use case is Twitter hashtags).
EMOT will also be used for the EVP game, which will incentivize users to predict the sentiment direction of twitter hashtags.
The platform has a vault (EMOT Vault), which will act like a bank, having some preset amount of EMOT. Users can purchase EMOT using BTC/ETH. Expended EMOT will recycle back to the vault. Each user’s wallet can only hold a maximum of 100, 000 EMOT tokens at any given time.
Yes, there will be a max supply of 1 billion EMOT. No mining.
All unissued tokens during the presale and ICO will be reallocated to the EMOT Vault for use in the Sentigraph Platform
Short term: The platform will offer useful predictive insights based on the computed graph indexes on all Twitter hashtags, while illustrating the performance of those hashtags with regards to their corresponding sentiments
Long term: Sentigraph will scale beyond Twitter and incorporate various social networks (e.g. Instagram, Facebook etc.), news media, sports betting, national security, equity markets, politics, transportation, crime prediction/prevention, gene expression research, and various other use cases.
Waves is not needed. Initially we had considered Waves but due to the robustness of Ethereum and the existence of Smart Contracts, we decided to switch to Ethereum.
Take a look a the list of Use Cases.
We did: Market research, Usencase analysis and gathering, Partnership with Vanbex, Idea tweaking, v1 planning/development, team building, Algorithm, whitepaper v1, landing page
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
ICO main event, token issuance, deploy v2 to mainnet, Sentigraph app design/dev targeting iOS/Google
Push v2 to iOS/Google Store, Strategic partnership with Twitter, IBM, Music/News Platforms
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).
Corporate outreach & integration, increase team (hire data scientist/ML Engineers, mathematicians), Enhance algorithm (Smart Contract) for GI computation, Sentigraph Kaggle hackatons, seminars, meetups.
v3, Corporate Social Responsibilites (Blockchain, Math, Data Science exposure to high school kids in developing nations in Africa, Asia, and Eastern Europe).
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.
Explore crime prediction via sentiment data analysis, national security, genetic sentiment analysis - cancer research, IoT-Sentiment based devices and wearables.