Submit

Login Login

Register Register

Home / Advanced Search
News & Announcements

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
Show export options
  • Articles
  • Online
Search Results (2)

  • Open Access

    ARTICLE

    Classification of Job Offers into Job Positions Using NET and BERT Language Models

    Lino Gonzalez-Garcia*, Miguel-Angel Sicilia, Elena García-Barriocanal

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-15, 2026, DOI:10.32604/cmc.2025.070813 - 09 December 2025

    Abstract Classifying job offers into occupational categories is a fundamental task in human resource information systems, as it improves and streamlines indexing, search, and matching between openings and job seekers. Comprehensive occupational databases such as NET or ESCO provide detailed taxonomies of interrelated positions that can be leveraged to align the textual content of postings with occupational categories, thereby facilitating standardization, cross-system interoperability, and access to metadata for each occupation (e.g., tasks, knowledge, skills, and abilities). In this work, we explore the effectiveness of fine-tuning existing language models (LMs) to classify job offers with occupational descriptors… More >

    View

    538

    Download

    218

  • Open Access

    ARTICLE

    DeBERTa-GRU: Sentiment Analysis for Large Language Model

    Adel Assiri1, Abdu Gumaei2,*, Faisal Mehmood3,*, Touqeer Abbas4, Sami Ullah5

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4219-4236, 2024, DOI:10.32604/cmc.2024.050781 - 20 June 2024

    Abstract Modern technological advancements have made social media an essential component of daily life. Social media allow individuals to share thoughts, emotions, and ideas. Sentiment analysis plays the function of evaluating whether the sentiment of the text is positive, negative, neutral, or any other personal emotion to understand the sentiment context of the text. Sentiment analysis is essential in business and society because it impacts strategic decision-making. Sentiment analysis involves challenges due to lexical variation, an unlabeled dataset, and text distance correlations. The execution time increases due to the sequential processing of the sequence models. However,… More >

    View

    2941

    Download

    1206

Displaying 1-10 on page 1 of 2. Per Page  

Contact Us

Copyright© 2026 Tech Science Press
© 1997-2026 TSP (Henderson, USA) unless otherwise stated