ESCO Skill Extractor

This is a a tool that extract ESCO skills and ISCO occupations from texts such as job descriptions or CVs. It uses a transformer and compares its embedding using cosine similarity.

Installation

pip install esco-skill-extractor

Usage

Via python

from esco_skill_extractor import SkillExtractor

# Don't be scared, the 1st time will take longer to download the model and create the embeddings.
skill_extractor = SkillExtractor()

ads = [
    "We are looking for a software engineer with experience in Java and Python.",
    "We are looking for a devops engineer. Containerization tools such as Docker is a must. AWS is a plus."
    # ...
]

print(skill_extractor.get_skills(ads))
# [
#     [
#         "http://data.europa.eu/esco/skill/19a8293b-8e95-4de3-983f-77484079c389",
#         "http://data.europa.eu/esco/skill/ccd0a1d9-afda-43d9-b901-96344886e14d",
#     ],
#     [
#         "http://data.europa.eu/esco/skill/11430d93-c835-48ed-8e70-285fa69c9ae6",
#         "http://data.europa.eu/esco/skill/ae4f0cc6-e0b9-47f5-bdca-2fc2e6316dce",
#         "http://data.europa.eu/esco/skill/ce8ae6ca-61d8-4174-b457-641de96cbff4",
#         "http://data.europa.eu/esco/skill/f0de4973-0a70-4644-8fd4-3a97080476f4",
#     ],
# ]
print(skill_extractor.get_occupations(ads))
# [
#     [
#         "http://data.europa.eu/esco/occupation/10469d70-78a3-4650-9e29-d04de13c62c1",
#         "http://data.europa.eu/esco/occupation/1c5a896a-e010-4217-a29a-c44db26e25da",
#         "http://data.europa.eu/esco/occupation/4874fa37-0cd1-4a68-aed8-a838851f242d",
#         "http://data.europa.eu/esco/occupation/579254cf-6d69-4889-9000-9c79dc568644",
#         "http://data.europa.eu/esco/occupation/57af9090-55b4-4911-b2d0-86db01c00b02",
#         "http://data.europa.eu/esco/occupation/f2b15a0e-e65a-438a-affb-29b9d50b77d1",
#         "http://data.europa.eu/esco/isco/C2512",
#         "http://data.europa.eu/esco/isco/C2514",
#     ],
#     [
#         "http://data.europa.eu/esco/occupation/2fb96c6c-8d0b-4ef0-b1ee-3e493305e4eb",
#         "http://data.europa.eu/esco/occupation/349ee6f6-c295-4c38-9b98-48765b55280e",
#         "http://data.europa.eu/esco/occupation/781a6350-e686-45b9-b075-e4c8d5a05ff7",
#         "http://data.europa.eu/esco/occupation/93b11f0f-69af-4ece-b9da-f29aab7d38d3",
#         "http://data.europa.eu/esco/occupation/bb609566-3ab6-44dd-8f48-cf0b15b96827",
#         "http://data.europa.eu/esco/occupation/cc867bee-ab5c-427f-9244-f7a204d9574b",
#     ],
# ]

Via GUI

# Visit the URL printed in the console.
# run python -m esco_skill_extractor --help for more options.
python -m esco_skill_extractor

Via API

# Visit the URL printed in the console.
# run python -m esco_skill_extractor --help for more options.
python -m esco_skill_extractor

async function getSkills() {
  const texts = [
    "We are looking for a software engineer with experience in Java and Python.",
    "We are looking for a devops engineer. Containerization tools such as Docker is a must. AWS is a plus.",
    // ...
  ];

  // Default host is localhost, and default port is 8000. Check CLI options for more.
  const response = await fetch("http://localhost:8000/extract-skills", {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
    },
    body: JSON.stringify(texts),
  });

  const skills = await response.json();
  console.log(skills);
  //  [
  //    [
  //      "http://data.europa.eu/esco/skill/19a8293b-8e95-4de3-983f-77484079c389",
  //      "http://data.europa.eu/esco/skill/ccd0a1d9-afda-43d9-b901-96344886e14d",
  //    ],
  //    [
  //      "http://data.europa.eu/esco/skill/11430d93-c835-48ed-8e70-285fa69c9ae6",
  //      "http://data.europa.eu/esco/skill/ae4f0cc6-e0b9-47f5-bdca-2fc2e6316dce",
  //      "http://data.europa.eu/esco/skill/ce8ae6ca-61d8-4174-b457-641de96cbff4",
  //      "http://data.europa.eu/esco/skill/f0de4973-0a70-4644-8fd4-3a97080476f4",
  //    ],
  //  ]
  const occupations = await fetch("http://localhost:8000/extract-occupations", {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
    },
    body: JSON.stringify(texts),
  });
}

Possible keyword arguments for SkillExtractor

Keyword Argument	Description	Default
skill_threshold	Skills surpassing this cosine similarity threshold are considered a match.	0.45
occupation_threshold	Occupations surpassing this cosine similarity threshold are considered a match.	0.55
device	The device where the copulations will take place. AKA torch device.	"cuda" if available else "cpu"

How it works

1. It creates embeddings for esco skills and ISCO occupations.
2. It creates embeddings for the sentences of the input texts.
3. It compares the embeddings of of the selected entity and the sentences using cosine similarity and it takes the maximum value.
4. An entity matches a sentence if the cosine similarity is above a certain threshold.