Mei to Use AI to Improve Relationships

The application will help people fill in the gaps in communication
07 August 2018   1657

Es Lee, a graduate of the computer science department at Harvard University, founded the Mei start-up. The application will help people fill in the gaps in communication, giving advice on how to respond in various situations. This is reported by Venture Beat.

Mei processes messages using algorithms that take into account the response time, laconicity, word selection and other factors. Based on these data, the application builds a psychological portrait of the interlocutor. Lee argues that algorithms can determine the age of the interlocutor only on the emoticons used. If you add text to it, the application will understand what kind of relationship between people and determine their strength. 

One of the difficulties of maintaining relationships through text is that it’s [possible] to come across as crass or rude — even when that was never the intention. Emotion is lost in text messages. It’s a different form of body language that people aren’t quite attuned to detecting yet.
 

Es Lee

Creator, Mei

In practice, AI calculates the percentage of compatibility, taking into account 5 personality factors: openness, goodwill, conscientiousness, emotionality and extraversion. At the same time, he additionally breaks each of them into sub-points (original, stubborn, polite, etc.), and also identifies features that most closely match the two interlocutors (for example, pride and seriousness).

Mei Screen
Mei Screen

Mei has been trained on millions of messages from more than 100,000 application users, data from two universities and team development team correspondence. The messenger uses double encryption of messages, and they can be deleted at any time, regardless of whether they were read or not. There are instant messages that are deleted as soon as they are sent or read. According to the developers, the application is developed thanks to the data received from users.

BNC to Monitor BTC Community's Mood

The system called Twitter Sentiment analyzes over 34M BTC-related Twitter posts each week, using AI to track the mood of the community
22 January 2020   479

Blockchain-based New Zealand-based research firm Brave New Coin (BNC) has unveiled a new system for measuring the mood of the Bitcoin community based on Twitter messages.

According to BNC, the new Twitter Sentiment rating system analyzes over 34 million BTC-related Twitter posts each week. The company uses artificial intelligence (AI) algorithms that look for records containing the words bitcoin, $ BTC and BTC and others.

BNC notes that user sentiment continues to be a “significant” factor in the price and dynamics of digital assets, and a new technique has been developed to track these sentiments. According to the BNC, it took 18 months to launch the Bitcoin Twitter Sentiment. The data obtained is divided into seven categories - Opinion, Technical Information, Inside the Network, Advertising, Bots, Macros and Hacking.

For the week ending January 17, the most common entries were in the Opinion category - their number was 30.42% of all data received. In second place was the category Technical Information, and in third inside the network (includes information on mining and hashrate).

BNC spokeswoman Pierre Ansaldi said that during the first quarter of this year, the company will also launch community sentiment analysis tools for other crypto assets.