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Sentiment Analysis - Console


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


Output format


Language in which the text is going to be analyzed.


It specifies the language of the returned response.


Verbose mode. When active, it shows additional information about the sentiment, specifically, it shows the changes applied to the basic polarity of the different polarity terms detected.



Input text that's going to be analyzed.


The text format parameter specifies if the text included in the txt parameter uses markup language that needs to be interpreted.


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.

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


Sentiment model chosen.


Expand the global polarity to every single topic.


Deal with unknown words. This feature adds a stage to the topic extraction in which the engine, much like a spellchecker, tries to find a suitable analysis to the unknown words resulted from the initial analysis assignment. It is specially useful to decrease the impact typos have in text analyses.


This parameter indicates how reliable the text to analyze is (as far as spelling, typography, etc. are concerned), and influences how strict the engine will be when it comes to take these factors into account in the analysis.

  • n: disabled (default)
  • y: enabled for all resources
  • u: enabled just for user dictionary

(for entities)


Disambiguation level applied. There are three possible values:

  • n: no disambiguation is applied
  • m: (morphosyntactic disambiguation mode) only morphosyntactic disambiguation is applied, that is, all possible senses are shown. This mode's impact is appreciated mainly on the quality syntactic analysis.
  • s: (semantic disambiguation mode) morphosyntactic and semantic disambiguation are applied (default).


Semantic disambiguation grouping. This parameter will only apply when semantic disambiguation is activated (dm=s). There are four possible values:

  • n: none
  • t: intersection by type
  • l: intersection by type - smallest location (default)
  • g: global intersection


Disambiguation context. Context prioritization for entity semantic disambiguation.



The user dictionaries allow to include user-defined entities and concepts in the topics 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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