Social Coin Applying AI to Twitter data in support of the UN and societal good

Social Coin Applying AI to Twitter data in support of the UN and societal good

06-Sep-2018 by Diana Florescu

Social Coin launched Citibeats to help organizations and local communities identify and measure social trends and concerns. The Citibeats AI analytics platform analyzes any kind of natural language data – from social media, transcripts from public helplines, or chatbots – and discovers, categorizes, and synthesizes people’s opinions to offer qualitative analysis and sentimental insights that bring human meaning to the data.

Citibeats is used by organizations to measure public opinion and direct feedback related to key issues and allows them to better understand conditions and sentiment within a local community. Their clients are organizations involved with improving infrastructure, tourism and smart city innovations who want to identify and understand the reality and needs based on people’s opinions around relevant topics that drive social change. Critical decisions that affect many citizens are often driven by typical measures such as sales figures, tourist visits, or dollars invested. Citibeats wanted to provide a human layer – “empathetic” AI text analytics that mine millions of unstructured conversations and social data that take place every day and turn them into actionable insights for their clients.

As soon as Twitter’s premium APIs became available, the Citibeats team took advantage of it due to the ability to access every public Tweet via the premium Full-Archive Search endpoint. “Not having 100% of the Tweets wasn’t a problem when we were doing proof of concepts with our clients, but for project engagements it was important for us to get the full picture,” said Marc Puig, CTO of Social Coin. In addition, they were excited to compose more complex queries that became available as part of premium APIs.

 

Read the full case study.

Diana Florescu

Global Marketing & Social Media Specialist at Startupbootcamp