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Sonar Announces The Launch Of Social Sentiment AI Analysis

chainwire
March 1, 2022
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Marsascala, Malta, 28th February, 2022, Chainwire

Sonar has announced the release of their Social Sentiment AI feature, scheduled to go live this week. It seeks to compete with other sentiment analysis services currently on the market such as LunarCrush.

In the world of speculative cryptocurrency trading, investors rely on a range of information metrics to make decisions. With crypto, the feelings of the “community” are often just as impactful, if not more so than the base fundamentals and utility of any coin or token. Social media influencers promoting a token on their Twitter page or YouTube channel can act as a buy signal for some or a red flag to stay away from others. The bustling world of Telegram offers crypto investors a place to interact with each other as well as the founding teams of tokens.

For those who have spent any time in the crypto space, learning to navigate Telegram has become a necessity. Often, learning to spot the first signs of trouble in a Telegram group can make the difference between a gain or a severe trading loss. This can include low activity from the team, certain language being used, negative community sentiment, and other signs that trouble that can affect the price of the token could be brewing. 

Sonar intends to introduce an AI-powered solution for tracking community activity and sentiment around these tokens. The Social Sentiment AI tool will scrape data from YouTube, Telegram, Twitter, and Reddit to compile sentiment scores in various readouts on the Sonar Platform. Users will be able to see the real-time sentiment of tokens displayed on a graph as well as in mood indicators and numerical scores. The analysis will be available not just for the top 200 coins but also for thousands of cross-chain DeFi tokens with active Telegram channels and social media imprint. While there are already some other sentiment analytical tools available, Sonar is currently the only platform on the market offering Telegram monitoring and analysis. 

Sonar’s Social Sentiment AI Analysis uses advanced Machine Learning and neural network models known as transformers to make sense of the incoming data. 

Also planned in the next update to the Platform is the ability to plot trades. This serves as a useful tool to track buys and sells as a trader. Users can visualize the price points and dates where they have made transactions on specific coins or tokens. 

Sonar’s native token PING is currently trading on the Binance Smart Chain through PancakeSwap. It serves as a utility token that powers the rest of the ecosystem which comprises analytical and trading tools, educational materials, and an upcoming web3 crypto wallet. For more information, please visit the Sonar Website

About Sonar

Sonar is an intuitive and powerful data analytics and portfolio tracking ecosystem. Featuring a central platform of analytics tools, a web3 wallet, and educational content, Sonar is a new way to interface with the blockchain. Institutional traders have access to many tools that retail traders currently do not. Sentiment analysis, risk assessment, and advanced analytics are valuable tools that the everyday person can access through the Sonar platform. Sonar provides powerful tools, and through educational content also teaches the user how to use them.

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Why Trust CoinGape

CoinGape has covered the cryptocurrency industry since 2017, aiming to provide informative insights Read more… to our readers. Our journal analysts bring years of experience in market analysis and blockchain technology to ensure factual accuracy and balanced reporting. By following our Editorial Policy, our writers verify every source, fact-check each story, rely on reputable sources, and attribute quotes and media correctly. We also follow a rigorous Review Methodology when evaluating exchanges and tools. From emerging blockchain projects and coin launches to industry events and technical developments, we cover all facets of the digital asset space with unwavering commitment to timely, relevant information.

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