GroupDocs.Classification Product Family

Taxonomic Classification of Raw Text using C# - (IAB-2 & Document Taxonomy)

In an article, we discussed how we can [analyze and classify complete documents programmatically][1]. It is often required to classify just some part of the document or only a few statements. In this article, we will identify the best possible taxonomic categories of the selected text. We will learn how we can classify text according to IAB-2 and document taxonomies using C#.

Taxonomic Classification of Documents using C# - (IAB-2 & Document Taxonomy)

A classification is basically an approach in which text is systematically identified and then organized according to rules. Taxonomy defines the science of such classification. When you are dealing with a bunch of textual documents, it gets hard to find a topic of any document until the taxonomic classification of the content. In this article, you will learn how to programmatically classify documents according to IAB-2 and document taxonomy using C#.

Classify your Customer Feedback using Sentiment Analysis in C#

Suppose that you have the opportunity to receive comments or reviews from your customers or some other source and you want to evaluate how positive they are. There is a way to analyze such comments called sentiment analysis. This post focuses on the sentiment analysis tool based on a deep neural network model using C#. This model is suitable for a wide range of tasks.

Upcoming release of GroupDocs.Classification for .NET

GroupDocs.Classification for .NET allows you to classify document or text with IAB-2 or Document taxonomies. Have a look at the image below: You can see how API classifies an input text to IAB-2. If you haven’t already explored the online app, visit it now. Big News We are going to launch GroupDocs.Classification API for .NET platform very soon. That means, whatever features you can avail/evaluate in the online app, will be available in a back-end API that you can integrate in any of your (existing or new) .