Comprehensive support for semantic analysis across 20 languages (up from ten) is one of the latest additions to TextRazor’s customizable, open semantic analysis and text mining API, to satisfy what the startup says is increasing demand for sophisticated semantic tools that go beyond English.

The company’s technology has been in public beta for just a few months. It differs from other multilingual natural language processing solutions, says founder Toby Crayston, in that it strongly leverages linked data sources like DBpedia and the semantic web to disambiguate, normalize and filter extracted metadata with better accuracy, so that end users can build powerful multilingual classifiers regardless of the language of their documents.

Read more