Textkernel
Wimma Jalal-Kanis is a highly experienced individual who currently works at Textkernel as the Team Lead Data & Quality. Prior to this, Wimma was a Data & Quality employee at the same company. In addition, Wimma has experience working as a Teacher NT2 at SIPI, where Wimma taught Dutch as a second language to immigrants, focusing on alphabetization of illiterate individuals. Wimma holds a Master's degree in Discourse and Argumentation Studies from the University of Amsterdam, a Docentenopleiding degree in NT2 from Vrije Universiteit Amsterdam, and a Bachelor of Arts in Taal en communicatie from the University of Amsterdam. Wimma also completed VWO in tweetalig education at Marnix College Ede.
Textkernel
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Textkernel translates text mining and information extraction into effective business solutions.Textkernel is developing technology for advanced information extraction and text understanding, in order to provide computers with full power over large volumes of unstructured textual information. Textkernel's free format text recognitiontechnology is packaged into Textractor Enterprise, an adaptive multi-lingual Information Extraction engine. Textractor is easily trained on domain specific labeled examples to capture key semantic information from your documents, regardless of their language, format, layout or vocabulary. The result is an intelligent and high accuracy conversion of unstructured text into easy-to-integrate structured output. Textkernel delivers fully engineered end-to-end solutions that solve complex data entry automation tasks in a variety of application contexts.