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Nichefire Brand Data from Social Media

Nichefire Brand Data from Social Media by Nichefire

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Product Type: altdata


Asset Classes: Brands ,
Data Frequency:

Dataset Name: nichefire_brand_meta

Group: altdata

Vendor: Nichefire

Asset Class: Brands

Brand Social Media Data

About Nichefire

Public social media text data by brand and sub-brand.

Specifically, content and comment text data from many platforms including the following:

  • 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.

Data Contained in this Dataset

Column Type Description
_seq uint Internal sequence number used to keep data rows in order
brand string brand
brand_description string Brand Description
brand_display string brand_display
brand_follower_count int Brand Follower Count
brand_following_count int Brand Following Count
brand_post_count int brand_post_count
brand_video_count int brand_video_count
brand_video_view_count int brand_video_view_count
brand_view_count int brand_view_count
child_brand string child_brand
child_brand_display string child_brand_display
industry string industry
muts uint64 Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps.
platform string platform
screen_name string screen_name
symbol string Trading Symbol or Ticker
timestamp string Timestamp of the Data - America/New York Time.

Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.