قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| كشف الدعاية× | تحليل الإطار× | |
|---|---|---|
| المجال | تنقيب النصوص | تنقيب النصوص |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | — | 1982 |
| صاحب الطريقة≠ | — | Charles J. Fillmore |
| النوع≠ | NLP text-classification task | NLP frame-semantic parsing task |
| المصدر التأسيسي≠ | Da San Martino, G. et al. (2019). Fine-Grained Analysis of Propaganda in News Articles. EMNLP. DOI ↗ | Fillmore, C. J. (1982). Frame Semantics. In Linguistics in the Morning Calm. Seoul: Hanshin Publishing. ISBN: 9788970050355 |
| الأسماء البديلة≠ | propaganda and manipulation detection, propaganda technique detection, Propaganda ve Manipülasyon Tespiti | frame semantics, frame-semantic parsing, FrameNet analysis, Çerçeve Analizi (Frame Analysis) — NLP |
| ذات صلة | 4 | 4 |
| الملخص≠ | Propaganda detection is a natural-language-processing task that automatically identifies and labels persuasion and manipulation techniques in text — such as loaded language, oversimplified solutions, bandwagon appeals, and glittering generalities. It builds on the fine-grained propaganda analysis introduced by Da San Martino et al. (2019), turning rhetorical manipulation into structured, technique-level labels. | Frame analysis is a FrameNet-based natural-language-processing task that detects the semantic frames evoked in text and the participant roles (frame-evoking elements and frame elements, FE) that fill them. Rooted in Charles Fillmore's frame semantics (1982) and operationalised by the Berkeley FrameNet Project (Baker et al., 1998), it is widely used to analyse media discourse and political text. |
| ScholarGateمجموعة البيانات ↗ |
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