Video data from YouTube.
Applied to all interactions to determine the author's likely gender.
A normalized description of common features and classification of all our data feeds
The industry standard for measuring an author's online influence in the social media communities.
A custom DataSift augmentation to determine the language in which a post is written.
Detailed information and statistics derived from content links.
A fixed allocation of detailed information and statistics derived from content links.
A list of the entities Salience finds in each post.
A list of the topics Salience finds in each post.
A measure of the positive or negative sentiment in the content or title of each post.
Trending topics in Twitter. Include current, daily, weekly, and location-based trends in your streams.