Nina Šinigoj

Sentimentalna analiza, bolj podrobno kako zaznati, da sta v besedilu/izjavi prisotna sarkazem in ironija.

  • za slovenščino nisem niča našel, lahko se lotimo malo večjega projekta zbiranja gradiv
  • Shereen Oraby, Vrindavan Harrison, Lena Reed, Ernesto Hernandez, Ellen Riloff and Marilyn Walker. "Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue." In The 17th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), Los Angeles, California, USA, 2016.
  • ta korpus sem že pobral in je zelo majhen, vendar se lahko igramo
  • : https://arxiv.org/pdf/1908.07414.pdf


Nejc Razpotnik

Prepoznavanje govora: avtomatizirana segmentacija govora

  • A Review: Automatic Speech Segmentation https://www.ijcsmc.com/docs/papers/April2017/V6I4201790.pdf
  • An optimal feature parameter set based on gated recurrent unit recurrent neural networks for speech segment detection: https://www.mdpi.com/2076-3417/10/4/1273
  • An Improved Speech Segmentation and Clustering Algorithm Based on SOM and K-Means: https://www.hindawi.com/journals/mpe/2020/3608286/

Luka Žibert

Program, ki prevede “nesramen” e-mail v pravtako direkten a bolj “prijazen” in “profesionalen” e-mail."

            Hate speech https://journals.sagepub.com/doi/full/10.1177/2158244020973022

             A Literature Review of Textual Hate Speech Detection Methods and Datasets: https://www.mdpi.com/2078-2489/13/6/273

             UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs: https://arxiv.org/abs/1904.03450

Đorđe Kremenović

Text summarization

  • Slovenian text summarization models: https://www.clarin.si/repository/xmlui/handle/11356/1751
  • Text Summarization Techniques: A Brief Survey: https://arxiv.org/abs/1707.02268
    An Improved Speech Segmentation and Clustering Algorithm Based on SOM and K-Means: https://www.hindawi.com/journals/mpe/2020/3608286/


Last modified: Thursday, 16 October 2025, 11:06 AM