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Configuring spelling checker settings


By using the spelling checker, you can categorize the text with a greater confidence score, making the analysis more accurate and reliable.

The spelling checker feature is available only for categorization analysis. You can use English, Spanish, French, and German default dictionaries. You can also upload custom dictionaries that best suit your business needs. Checking spelling is available only when categorization analysis is enabled on the Select Analysis tab. Each Spell checker Decision Data rule can have multiple language dictionaries associated with it. Each dictionary decision data has the following properties:
  • Language – Indicates the language of the dictionary.
  • Spell Checker Property – Contains text files with dictionary entries. The text files can be classified into different categories (for example, Main, Supplemental, and so on).
  1. In the Records panel, click Decision Text Analyzer .

  2. Click the Advanced tab.

  3. In the Topic settings section, select the Enable spell checking check box.

  4. In the Spell checker field, select a spelling checker decision rule.

    The default spelling checker decision data rule is pySpellChecker.
  5. If you modified an instance of a Spell checker Decision Data rule that your application is currently using, perform one of the following actions:

    • Save the property to a different branch.
    • Save the property to a different rule set version.

  • Configuring advanced text analytics settings

    Configure language detection settings, enable spell checking, and control how the text is categorized, based on various criteria.

  • Configuring language detection preferences

    You can control how a text analyzer detects languages in the analyzed document. For example, you can enable a fallback language in case your text analyzer does not detect the language when analyzing content that is written in multiple languages.

  • Configuring sentiment score range

    You can define a sentiment score range to specify the type of sentiment feedback that you receive: positive, negative, or neutral.

  • Configuring categorization settings

    Categorization settings give you control over how the text is categorized, depending on the selected level of classification granularity. You can adjust text categorization according to your business needs, for example, change the analysis granularity to document level if you analyze short tweets. The Topic settings section is available only when the categorization analysis is enabled on the Select Analysis tab.

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