Management and Economics Scientific Research Journal 2-tom 2-san (2025) · 10-22-betler
USING ARTIFICIAL INTELLIGENCE TO AUTOMATE THE PROCESS OF COLLECTING AND ANALYZING DATA FROM ONLINE JOB POSTINGS
Doshanova M.Y, Otaxanova B.I, Aliyev R.R
Annotaciya
The article discusses an approach to information extraction using onlinelearning based on determining the semantic proximity of sentence vectors and knowledge baseentities using neural network language models trained without a teacher on a large text corpusof the subject area. A detailed review of modern supervised and unsupervised informationextraction methods is provided, which allow achieving acceptable quality in solving the problemof analyzing current labor market requirements without the labor-intensive procedure of textcorpus tagging and without using rule-based approaches.
classification method, machine learning, neural network language models, natural language processing, information extraction, entity recognition.
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.