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  1. GroupDocs.Assembly for .NET | Documentation

    Release notes Package repository GroupDocs.Assembly for Net - A assembly is a Document automation and reports generation API designed to Create custom Documents from templates. This Net reporting API intelligently assembles the given data with the defined template Document and generates an output Document based on the data source, in the template’s format as well as in the specified output format. GroupDocs.Assembly supports over 170 popular file formats. Load text Documents, spreadsheets, presentations, PDF files, email messages, and images....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/assembly/net/
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  2. Queries in text and object form | Documentation

    This article gives the knowledge about two ways to Create a search query: in text or object form....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/search/net/queries-in-text-a...
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  3. Date range search | Documentation

    This article gives the knowledge that how to search by date with date range search....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/search/net/date-range-search/
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  4. Merge Excel spreadsheets | Documentation

    Follow this guide and learn how to merge MS Excel spreadsheets using Java programming language....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/merger/java/merge/excel/
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  5. Convert CAD formats | Documentation

    In this article, you will learn how to convert CAD Documents to other formats or another CAD format with GroupDocs.Conversion for Java....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/conversion/java/convert/cad/
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  6. Load from URL | Documentation

    Load Documents from URLs in Python using GroupDocs.Viewer. This example demonstrates the process....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/viewer/python-net/load-docum...
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  7. Extract text by table of contents item | Docume...

    This article explains that how to extract text by table of contents item."...Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/parser/java/extract-text-by-...
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  8. Extract metadata from Microsoft Office Excel sp...

    To extract metadata from Microsoft Office Excel spreadsheets getMetadata method is used. This method allows to extract the following metadata: Name Description title The title of the spreadsheet. subject The subject of the spreadsheet. keywords The keyword of the spreadsheet. comments The comments of the spreadsheet. content-status The content status of the spreadsheet. category The category of the spreadsheet. company The company of the spreadsheet. manager The manager of the spreadsheet....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/parser/java/extract-metadata...
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  9. Extract metadata from Microsoft Office Excel sp...

    This article explains that how to extract metadata from Microsoft Office Excel (.xls, .xlsx) spreadsheets....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/parser/net/extract-metadata-...
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  10. 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....Editor Product Solution GroupDocs...Consulting Blog Knowledge Base New Releases Status Websites aspose...

    docs.groupdocs.com/classification/net/sentiment...
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