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  1. Extract text from Emails | Documentation

    To extract a Text from emails getText method is used. This method allows to extract a Text from the entire document. Pagination and raw mode is not supported for emails. Here are the steps to extract a Text from an email: Instantiate Parser object for the initial email; Call getText method and obtain TextReader object; Read a Text from reader. Warning getText method returns null value if Text extraction isn’t supported for the document....Watermark Product Solution GroupDocs...Emails / Extract text from Emails Extract text from Emails Leave...

    docs.groupdocs.com/parser/java/extract-text-fro...
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  2. Extract text from Emails | Documentation

    Extract Text from emails using GetText method....Watermark Product Solution GroupDocs...Emails / Extract text from Emails Extract text from Emails Leave...

    docs.groupdocs.com/parser/net/extract-text-from...
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  3. Add search text annotation | Documentation

    The page describes how to add search Text annotation to a document using GroupDocs.Annotation for .NET."...Watermark Product Solution GroupDocs...document / Add search text annotation Add search text annotation Leave...

    docs.groupdocs.com/annotation/net/add-search-te...
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  4. Load text from string | Documentation

    This article explains how to load values from variables of string type when using GroupDocs.Comparison for Python via .NET....Watermark Product Solution GroupDocs.../ Loading / Load text from string Load text from string Leave...

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  5. Text file encoding detection | Documentation

    This article explains that how to detect encoding of a Text file automatically....Watermark Product Solution GroupDocs.../ Indexing / Text file encoding detection Text file encoding...

    docs.groupdocs.com/search/net/text-file-encodin...
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  6. Classify Raw Text | Documentation

    Simple IAB-2 Text classification Call Classify method with a Text as the first parameter to perform classification. Default taxonomy (IAB-2) and bestClassesCount (1) will be used. var response = classifier.Classify("Medicine is an important part of our lifes"); Console.WriteLine(response.BestClassName, response.BestClassProbability); Raw Text classification with Documents taxonomy and 2 best classes to return Taxonomy, bestClassesCount and precisionRecallBalance could also be specified: var response = classifier.Classify("Medicine is an important part of our lifes", 2, Taxonomy....Watermark Product Solution GroupDocs...Usage / Classify Raw Text Classify Raw Text Leave feedback Simple...

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  7. Working with formatted text | Documentation

    Open Navigation Close Navigation Products GroupDocs.Total Product Family GroupDocs.Viewer Product Solution GroupDocs.......Watermark Product Solution GroupDocs...Working with text / Working with formatted text Working with...

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  8. Working with formatted text | Documentation

    Open Navigation Close Navigation Products GroupDocs.Total Product Family GroupDocs.Viewer Product Solution GroupDocs.......Watermark Product Solution GroupDocs...Working with text / Working with formatted text Working with...

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  9. Add text field annotation | Documentation

    The page describes how to add Text field annotation to a document programmatically using GroupDocs.Annotation for Java....Watermark Product Solution GroupDocs...document / Add text field annotation Add text field annotation...

    docs.groupdocs.com/annotation/java/add-text-fie...
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  10. Extract text structure | Documentation

    This article explains that how to extract Text structure from documents....Watermark Product Solution GroupDocs...Working with text / Extract text structure Extract text structure...

    docs.groupdocs.com/parser/java/extract-text-str...
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