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Configuring advanced text analytics settings

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

By configuring advanced settings, you can adjust text analysis to your business-specific needs. For example, you can control the score range for the neutral sentiment to detect only strongly negative or positive opinions that are expressed in a piece of text.

  • 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 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.

  • 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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