AUTOMATED TEXT ANALYSIS AND LINGUISTIC INTEGRATION
Because reading and analyzing a text is much more than just finding keywords out of a context that cannot be interpretated
Kernelis Descriptor is developed to automatically analyze texts and documents and thus prevents the interpretative bias of a human reader.
Kernelis Descriptor can also read and analyze documents faster and more accurately than a human reader would do.
Kernelis Descriptor can be used as a standalone software to analyze documents or can be added as a module to other software included in the Kernelis technology.
Kernelis-Descriptor analyzes documents accordingly to proprietary methodology in which semantic knowledge and advances in text mining are integrated. Hence, Kernelis-Descriptor is much more than a keywords finder.
Kernelis-Descriptor converts plain text into an alpha-numeric code that can further be interpreted and analyzed by the software and aligned with the sectoral requirements.
Kernelis-Descriptor is objective-oriented. This means that Kernelis-Descriptor is more efficient if the domain of activity is known and its jargon is integrated.
Kernelis-Descriptor is compatible with non-alphabetic languages (Japanese, Chinese, Korean…).