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CloudQuant adds Nichefire’s Brand and Sub-Brand Sentiment scores to their extensive data catalog. These sentiment scores are created by applying Nichefire’s AI model to data collected from multiple Social Media sources.

Nichefire – New datasets added to CloudQuant Data Catalog

Nichefire Backend by Nichefire

Social media, forums, and review sites provide one of the largest data sources for competitor and consumer insights in the world. Even with some of the most sophisticated social listening and analytics tools, marketers and strategists are struggling to optimize the media channels that work and are overwhelmed when they sift through the “noisy” data current platforms provide.
That’s where Nichefire comes in. They use AI to bridge the gap between social listening and insights – without the complexity and exhaustion of boolean keyword searches or training models. Through Their network of data sources, partners, and state-of-the-art machine learning applications, they deliver the most insightful analysis of any brand.

Nichefire Backend Overview

Public social media text data by brand and sub-brand, content and comment text data from :

  • Facebook
  • Instagram
  • Twitter
  • YouTube
  • Reddit
  • Google places
  • Yelp

This data is run through Nichefire’s artificial intelligence model to create magnitude based sentiment scoring on multiple dimensions, and “taxonomies” or categories to group similar content and comment text together such as “life events” content pieces or “in-store customer complaint” comment text.

For information on this dataset or any of our white papers either…
Email, Make an appointment to speak to a CloudQuant Representative, or fill in the form on the right and we will get in touch.
See also our Data Catalog and our Repository of White Papers.