Our product hyScore|analyze now support analysis in Romanian (RO) language. This includes keyword and entity detection, as categorization as well.
The sentiment analysis for Romania is not available yet. If you’re interested in sentiment analysis in the Romanian language get in touch with us.
Find a full overview of supported languages by hyScore.
Our product hyScore|analyze now support analysis in Greek (EL) language. This includes keyword and entity detection, as categorization as well.
The sentiment analysis for Greek is not available yet. If you’re interested in sentiment analysis in the Greek language get in touch with us.
Find a full overview of supported languages by hyScore.
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:
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.
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.