A.I. and Data-Centric Approach to Digital Transformation
Leveraging AI creates a scalable approach that detects, understands, and prioritizes online digital services in an unparalleled way.
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Every industry contains its own industry-specific lingual. Our technology enables a self-learning process that seamlessly learns the latest slang found on social media channels.
Just because a message contains the name of a company doesn't mean the message itself is relevant to the brand. Our algorithm not only filters social media data based on the underlying context of the message but determines its relevancy to a social trend.
Instead of relying on a defined set of complex keyword rules to categorizes the social trend forecasts, our platform automatically analyzes the entire context of a post to interpret its topic, sentiment, and impact.
Impact - rate the viral factor of the post to the online community
Sentiment - public perception of a brand based on message’s context
Topic - categorize the social post into relevant topics based on what is mentioned
Improving accuracy, made simple
The accuracy of the model is dependent on the data you use to train it. Thus, we have developed an end-to-end A.I. ecosystem which makes the journey of training and improving your A.I. model a relatively simple process.
By analyzing the relevant context, data source, and historical social trends of every message, we can forecast consumer reaction and sentiments, providing
Early prediction of whether a post is likely to generate controversy
Warning of extreme emotions – whether people are for or against a social post
A list of topics which customers strongly agree or disagree with