@inproceedings{niu-etal-2023-human,
    title = "Human Value Detection from Bilingual Sensory Product Reviews",
    author = "Niu, Boyu  and
      Manetta, C{\'e}line  and
      Segond, Fr{\'e}d{\'e}rique",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia",
    booktitle = "Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing",
    month = sep,
    year = "2023",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/ingest-emnlp/2023.ranlp-1.86/",
    pages = "792--802",
    abstract = "We applied text classification methods on a corpus of product reviews we created with the help of a questionnaire. We found that for certain values, ``traditional'' deep neural networks like CNN can give promising results compared to the baseline. We propose some ideas to improve the results in the future. The bilingual corpus we created which contains more than 16 000 consumer reviews associated to the human value profile of the authors can be used for different marketing purposes."
}