Sentiment scoring allows a computer to consistently rate the positive or negative assertions that are associated with a document or entity. The scoring of sentiment (sometimes referred to as tone) from a document is a problem that was originally raised in the context of marketing and business intelligence, where being able to measure the public’s reaction to a new marketing campaign (or a corporate scandal) can have a measurable financial impact on your business.
Historically, the measurement of tone was the responsibility of the marketing department in an organization and was typically done by hand. The obvious limitations of scoring content by hand led to the development of machine scoring. Once you have reliable, consistent machine-based sentiment scoring, there are a number of applications that become feasible inside of financial services (automated trading, better information to traders), reputation management (the problem every marketing person faces), “voice of customer” (listen to how they’re saying what they say, don’t constrain them to closed-ended questions).
Salience Topics are currently available only in English.
Salience Sentiment and Salience Entities are available in:
- American English
- British English
- Canadian French
- Latin America Spanish
- Brazilian Portuguese
Check the availability of augmentations with our data sources.
The name of a Salience content entity.
The type of a Salience content entity.
The sentiment of the content of a post.
A list of the topics that Salience finds in the content of a post.
The name of a Salience title entity.
The type of a title salience entity.
The sentiment of the title of a post.
A list of the topics that Salience finds in the title of this post.