A lot of available information is presented as documents, articles, emails and a like. Its share volume renders information contained within those documents into inaccessible data.
TokenMill works at providing automated processing tools helping to understand, analyse and observe trends throughout this vast body of available information.
We are applying Natural Language Processing, Text Analytics and Machine Learning techniques in order to solve big data and text analysis problems.
Typically we work with GATE, UIMA, OpenNLP, Mahout, Nutch, Lucene and other similar instruments in order to provide stable and well supported solutions.
Our applications can be employed in the variaty of cases:
- Media monitoring
- Customer support
- Enterprise search
- Ad-hoc business analytics
- And anywhere where textual data can be found