AI web
service

Semantic engine for candidates pre-screening: send us your resume, we will analyze the content and provide you with the professional tags and skills identified in it

AI web
service

Semantic engine for candidates pre-screening: send us your resume, we will analyze the content and provide you with the professional tags and skills identified in it

free demo

Schedule a free demo with our team to find out more about the products and Arca24.

online tour

Visit the demo area and discover all the main features of Arca24 software.

free demo

Schedule a free demo with our team to find out more about the products and Arca24.

online tour

Visit the demo area and discover all the main features of Arca24 software.

why
skillskan

Thanks to the web service connection, it is only necessary to upload via FTP protocol the candidate’s CV you would like to analyze or the content of the job offer. The document content is inserted into the semantic engine, which springs into action, enclosing four different actions in just a few seconds:

  • data extraction

  • parsing and content classification
  • data normalization

  • semantic analysis

  • indexing

  • matching between job offer and CV

Data extraction
Once a document is entered, typically a CV (whether it is a reading file, an image, or a scan), the system returns that document in text format (plain text or html).

Data normalization and semantic
The data are normalized in order to improve understanding and a grammar software conducts a logical analysis on the extracted content to identify the semantic meaning of each sentence in the text.

Content classification
Skillskan performs the CV parsing and makes a classification of the text content in sections (image of the candidate, censored CV, experience, education, personal data, languages and other skills).

Indexing and matching
The algorithm runs an extraction of the professional tags contained in the job offers; then it compares them with the skills found in the candidates’ CVs and returns the matching of suitable CVs for the selected talent pool.

why
skillskan

Thanks to the web service connection, it is only necessary to upload via FTP protocol the candidate’s CV you would like to analyze or the content of the job offer. The document content is inserted into the semantic engine, which springs into action, enclosing four different actions in just a few seconds:

  • data extraction

  • parsing and content classification
  • data normalization

  • semantic analysis

  • indexing

  • matching between job offer and CV

Data extraction
Once a document is entered, typically a CV (whether it is a reading file, an image, or a scan), the system returns that document in text format (plain text or html).

Content classification
Skillskan performs the CV parsing and makes a classification of the text content in sections (image of the candidate, censored CV, experience, education, personal data, languages and other skills).

Data normalization and semantic
The data are normalized in order to improve understanding and a grammar software conducts a logical analysis on the extracted content to identify the semantic meaning of each sentence in the text.

Indexing and matching
The algorithm runs an extraction of the professional tags contained in the job offers; then it compares them with the skills found in the candidates’ CVs and returns the matching of suitable CVs for the selected talent pool.