Deep Categorization Console

Deep Categorization - Console

Endpoint

Key

key

The access key is required for making requests to any of our web services.

Output format

of

Output format

Verbose

verbose

Verbose mode. When enabled, it shows additional information about the process (the terms that have been used in the categorization).

Content

Text

txt

Input text that's going to be analyzed.

File

Browse

doc

Input file with the content to analyze. The supported formats for file contents can be found here.

URL

url

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.

The fields txt, doc and url are mutually exclusive; in other words, at least one of them must not be empty (a content parameter is required).

Operating Parameters

Model

Create your own model

model

Deep categorization model to use.

Polarity

polarity

Determines if categories will contain an associated polarity value.

Debug

debug

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.

Dictionaries

User Dictionaries

Create your own dictionary

ud

The user dictionaries allow 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.

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