converter to text
Easy tool to extract text from documents, image or video.
text normalization
Tool that reduces the randomness of text, bringing it closer to a predefined “standard.”
semantic engine
It is created exclusively for the world of HR and its trustworthiness comes from the continuous developments and updates that the IT department releases on a monthly basis.
main features
Why do our customers use the semantic engine?
- It is possible to have the text contained in CVs and job postings read and analyzed.
- It is possible to create smart searches within your ATS and quickly find the suitable candidate.
how can it work for you (For your IT team)
How does the semantic search work?
A grammar software conducts a logical analysis on the extracted content to identify the semantic meaning of each sentence in the text.
Our calculation algorithm searches and indexes professional skills in the analyzed text.
It can be used for any type of content (resume, job offer, etc.).
We have four different web services available:
main features
Why do our customers use the semantic engine?
- It is possible to have the text contained in CVs and job postings read and analyzed.
- It is possible to create smart searches within your ATS and quickly find the suitable candidate.
how can it work for you (For your IT team)
How does the semantic search work?
A grammar software conducts a logical analysis on the extracted content to identify the semantic meaning of each sentence in the text. Our calculation algorithm searches and indexes professional skills in the analyzed text. It can be used for any type of content (resume, job offer, etc.).
We have four different web services available:
- Full semantic: given a text in a specific language (resume or job ad), the system will provide a description as well as with a set of semantic tags (related to work and education) linked to the text along with their weight.
- Experience search: given a text in specific language (resume or job ad), the system will provide a set of semantic tags related to the job role along with their weight.
- Degree search: given a text in a specific language (resume or job ad), the system will provide a set of semantic tags related to education along with their weight.
- Keyword semantic: given a keyword in a specific language (resume or job ad), the system will provide a set of semantic tags related to it.