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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.

  1. In the Records panel, click Decision Text Analyzer .

  2. Click the Advanced tab.

  3. Perform any of the following actions:

    • To automatically detect the language of a piece of text, go to step 4.

      This is the default option.

    • To manually specify the language of a piece of text, skip to step 5.

      You can use this option when analyzing documents that are written in multiple languages or contain a lot of noise that could interfere with language detection, such as emoticons, URLs, and so on.

  4. To enable the language auto detection feature:

    1. In the Language settings section, select Automatically detect language.

    2. Optional:

      Select Enable fallback language if language undetected and specify the language that the system falls back to in case no language is detected.

    3. Use the language metadata tag ( lang: ) of the incoming records for language detection by selecting Language detected by publisher.

    4. Go to step 7.

  5. To always assign a specific language to the analyzed text, perform the following actions:

    1. Select Specify language.

    2. Select a language from the drop-down list.

    3. Go to step 7.

  6. To use the language metadata tag (lang:) of the incoming records for language detection, perform the following actions:

    1. Select the Language detected by publisher radio button.

    2. Go to step 7.

  7. Click Save.

  • Configuring advanced text analytics settings

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

  • 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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