Input text that's going to be analyzed.
Input file with the content to analyze. The supported formats for file contents can be found here.
URL with the content to classify. Currently only non-authenticated HTTP and FTP are supported. The content types supported for URL contents can be found here.
url are mutually exclusive; in other words, at least one of them must not be empty (a content parameter is required).
Deep categorization model to use.
Determines if categories will contain an associated polarity value.
When enabled, it shows additional debug information about the rules in the model that have been triggered. Debug information is only available for user defined models.
The user dictionary allows to include user-defined entities and concepts in the sentiment analysis. It provides a mechanism to adapt the process to focus on specific domains or on terms relevant to a user's interests, either to increase the precision in any of the domains already taken into account in our ontology, to include a new one, or just to add a new semantic meaning to known terms.
To create your own dictionary, just go to our customization engine.