[OpeNER][] is a language analysis toolchain helping (academic) researchers and companies make sense out of “natural language analysis”. It consist of easy to install, improve and configure components to:

* Detect the language of a text
* Tokenize texts
* Determine polarisation of texts (sentiment analysis) and detect what topics are included in the text.
* Detect entities named in the texts and link them together. (e.g. President Obama or The Hilton Hotel)
* The supported language set currently consists of: English, Spanish, Italian, German and Dutch.

Besides the individual components, guidelines exists on how to add languages and how to adjust components for specific situations and topics.

[OpeNER]: http://www.opener-project.eu/