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HELPER: How We Built a Corpus of Psychologically Charged Texts and Fine-Tuned Qwen for Local Emotion Analysis

Students and researchers from HSE University and VK have created a corpus of psychologically charged Russian-language texts with local annotation of emotions and psychological characteristics. The HELPER annotation tool was developed, and based on the corpus, Qwen-3 8B and 14B models were fine-tuned for the tasks of extracting emotional fragments and assessing the author's state.

Habr — хаб ML26.07 · 21:03
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