The first port of call for unstructured HR data.
On the web you will find a lot of interesting information, coming from various tech providers and software companies about the capabilities and outstanding performances of their parsers. This information is primarily marketing only. Each provider claims their solution is the best and the fastest, makes the least mistakes and deviations and is available in the most languages. Usually, these claims are even underlined by some impressive results and bold percentages. The best thing to do, is not to believe everything you read. Instead, inform yourself about the real far-reaching possibilities of JANZZparser! by watching our demo. Seeing is believing!
JANZZparser! is a semantic extraction tool and the best choice for organizing unstructured HR data. It extracts all relevant data points from huge, unstructured data, such as job advertisements or CVs, and sorts the data into relevant categories that can then be used for matching, HR analysis, classification and other useful processing.
JANZZon!’s extensive knowledge database is the perfect basis for precise and accurate parsing. The knowledge of professions and skills stored in the world’s largest multilingual ontology of occupation-related data, allows for textual identification and parsing of all labor market related terms.
The graph below illustrates the architecture of JANZZparser!, which combines JANZZon! with cutting-edge Deep Learning models.