RELEASE v3.5 – BRANDRISK

RELEASE v3.5 – BRANDRISK

RELEASE NOTES

  • New: hyScore|brandrisk, helps to identify critical content on journalistic websites, which are not optimally suited as an environment for an advertising campaign. The hyScore|brandrisk indicator identifies reports on catastrophes, accidents, and crimes.

With the latest release, we have introduced a new product hyScore|brandrisk. This product is available on request and can be combined with our basic solution hyScore|analyze.

RELEASE v3.5 – BRANDRISK

RELEASE v3.4 – SEGMENTER

RELEASE NOTES

  • New: hyScore|segments
    Cockpit: User Interface (UI) –  “Segment Builder” to create custom segments based on keyword/entities and phrases.

With the latest release, we have introduced a new add-on called hyScore|segment. This add-on is available on request and is combined with our basic solution hyScore|analyze.

Create individual segments on keyword and phrase basis in real-time.

More information is available on the following product page: hyScore|segment

RELEASE v3.5 – BRANDRISK

DOCUMENTATION UPDATE 07/2019

The hyScore|analyze API documentation was updated today, July 31, 2019.

Change:
Section #4 Usage and Parameters has been split into two sections for a better overview:

In addition, the following new parameters have been added to section #4.1 Text Analysis:

  • confidence
  • typelist
  • wikitypes

A description of the parameters can be found in the corresponding documentation.

If you have any questions, please do not hesitate to contact us at support@hyscore.io.

NOW AVAILABLE ON AWS MARKETPLACE

NOW AVAILABLE ON AWS MARKETPLACE

hyScore|analyze is now available on Amazon Web Services (AWS) Marketplace. “For us, being available on AWS Marketplace is one of the biggest milestones since we were founded last year,” says Michael Boecher, founder and Managing Director of hyScore.io.

As an independent and cross-industry supplier of contextual data, we are happy to provide our contextual analysis API to a broad audience. Customers are able to use the Artificial Intelligence-based technology to transparently and reliably analyze and evaluate text content in order to e.g. to perform their own content recommendation, categorize websites in detail or place their advertising in suitable and safe environments.

Especially since the GDPR has become legally valid, contextual data is becoming increasingly relevant as it is gathered without cookies. Access to this type of data, however, is often complicated and therefore also expensive. Many companies lack core expertise in the fields of natural language processing (NLP), the associated analytical methods and self-learning algorithms (deep learning). We are now closing this gap with AWS customers.

Furthermore, the API is easy to integrate with an experienced developer and can be used in production within minutes.