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Use MeaningCloud API with the GATE plug-in

In our attempt to make MeaningCloud API the easiest way to use semantics in your application, today we are proud to present our latest development, a MeaningCloud plug-in for GATE.

GATE (General Architecture for Text Engineering) is an open-source workbench for text engineering that makes use of any kind of language processing component, from document crawling to search, and intelligent semantic annotations in particular.

Benefits for GATE and MeaningCloud API users

The plug-in provides GATE users a new set of multilingual functionalities, from parsing to entity extraction and sentiment analysis. For MeaningCloud users it would mean an easier and quicker method to prototype full applications including crawling, post-processing or indexing on annotated documents.  Besides, if you’re familiar with JAPE rules, it would enable to post-process, mix and match annotations from different processing resources for more complex pipelines. Finally, GATE is ideal for sharing and evaluating pipelines between team members, which increases productivity and produces more accurate results.

Fork MeaningCloud SDKs on GitHub!

Here at MeaningCloud we love Git.

If you have read our posts on sentiment analysis (document-level, feature-level), you’ll have seen that we have started to use gists from Github to share our examples and pieces of code in this blog.

Our aim in MeaningCloud is to make the building of semantics into your applications as easy as possible. Besides our public API, we have developed SDKs to make your life easier. Right now, they are the easiest way to start using our Media Analysis and Semantic Publishing APIs.

MeaningCloud API provides SDK for several languages- now available on Github

Would you like to get your hands really dirty? We have published the code in Github recently!

See: https://github.com/TailorBrands/meaning-cloud