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groupdocs.classification

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  1. Classify document by path | Documentation

    Classify document by path with IAB-2 taxonomy and return 2 best results Classifying of the document could be performed with the next steps Call Classify method for “document.pdf” file in the current (".") directory with IAB-2 taxonomy and return 2 best results. Handle possible ApiException try { var response = classifier.Classify("document.pdf", ".", 3, Taxonomy.Iab2); Console.WriteLine(response.BestClassName, response.BestClassProbability); } catch (ApiException e) { Console.WriteLine(e.Message); } Precisely classify document by path with Documents taxonomy and return 4 best results Call Classify method for “document....Redaction Product Solution GroupDocs.Classification Product Solution Purchase...GroupDocs Documentation / GroupDocs.Classification Product Family / GroupDocs...

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  2. Get taxonomies | Documentation

    Log taxonomy classes The list of taxanomy classes can be get like the following code snippet: Console.WriteLine(String.Join(" ", TaxonomyClasses.Iab2Classes)); Console.WriteLine(String.Join(" ", TaxonomyClasses.DocumentsClasses)); Console.WriteLine(String.Join(" ", TaxonomyClasses.SentimentClasses)); Console.WriteLine(String.Join(" ", TaxonomyClasses.Sentiment3Classes));...Redaction Product Solution GroupDocs.Classification Product Solution Purchase...GroupDocs Documentation / GroupDocs.Classification Product Family / GroupDocs...

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  3. Classifier initialization | Documentation

    Initialization of Classifier class: var classifier = new Classifier(); Classifier class is thread-safe....Redaction Product Solution GroupDocs.Classification Product Solution Purchase...GroupDocs Documentation / GroupDocs.Classification Product Family / GroupDocs...

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  4. 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....Redaction Product Solution GroupDocs.Classification Product Solution Purchase...GroupDocs Documentation / GroupDocs.Classification Product Family / GroupDocs...

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  5. Classify document from stream | Documentation

    Classifying of the document from stream could be performed with the next step Call Classify method for “stream” stream with Documents taxonomy and return 2 best results. Handle possible ApiException // Classify document from stream with Documents taxonomy and return 2 best resultstry { var response = classifier.Classify(stream, 2, Taxonomy.Documents); Console.WriteLine(response.BestClassName, response.BestClassProbability); } catch (ApiException e) { Console.WriteLine(e.Message); }...Redaction Product Solution GroupDocs.Classification Product Solution Purchase...GroupDocs Documentation / GroupDocs.Classification Product Family / GroupDocs...

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  6. How to Run Examples | Documentation

    Software Requirements Please make sure you meet the following requirements before downloading and running the examples. Visual Studio 2013 or higher NuGet Package Manager installed in Visual Studio. Make sure that latest NuGet API version is installed in Visual Studio. For details on how to install NuGet package manager please check http://docs.nuget.org/ndocs/guides/install-nuget Go to Tools->Options->NuGet Package Manager->Package Sources and make sure that the option nuget.org is checked Example project uses NuGet Automatic Package Restore feature therefore you should have an active internet connection....Redaction Product Solution GroupDocs.Classification Product Solution Purchase...GroupDocs Documentation / GroupDocs.Classification Product Family / GroupDocs...

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  7. Sentiment classification usage | Documentation

    Create an instance of SentimentClassifier class. It is multilingual and supports English, Chinese, Spanish, and German. Creates SentimentClassifier instance var sentimentClassifier = new SentimentClassifier(); and call PositiveProbability method Classifies sentiment by text var positiveProbability = sentimentClassifier.PositiveProbability("This is a new must-have thing."); Console.WriteLine($"The probability of a positive sentiment is { positiveProbability }"); or call Classify method Classifies sentiment by text var response = sentimentClassifier.Classify("This is a new must-have thing."); Console.WriteLine($"The best class name:{response....Redaction Product Solution GroupDocs.Classification Product Solution Purchase...GroupDocs Documentation / GroupDocs.Classification Product Family / GroupDocs...

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  8. Customer Feedback Sentiment Analysis in C# | C#...

    C# Sentiment Analysis Automation. Analyze customer feedback with C# API. Check how positive/negative are the comments about your product....programmatically, GroupDocs.Classification serves that purpose...positivity using C# with GroupDocs.Classification for .NET . So before...

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  9. Categories on GroupDocs Blog | Document Automat...

    Categories on GroupDocs Blog | Document Automation Solutions for .NET & Java Developers Recent content in Categories on GroupDocs Blog | Document Automation Solutions for .NET & Java Developers Gro......Annotation Product Family GroupDocs.Classification Product Family GroupDocs...

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  10. Categories on GroupDocs Blog | Document Automat...

    Categories on GroupDocs Blog | Document Automation Solutions for .NET & Java Developers Recent content in Categories on GroupDocs Blog | Document Automation Solutions for .NET & Java Developers Gro......Annotation Product Family GroupDocs.Classification Product Family GroupDocs...

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