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Emotion Analysis of Tweets Banning Education in Afghanistan

arXiv 2306.16268 ↗First posted 28 Jun 2023cs.CL cs.AIcited by 2

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Abstract (arXiv)

This paper introduces the first emotion annotated dataset for the Dari variant of Persian spoken in Afghanistan. The LetHerLearn dataset contains 7,600 tweets posted in reaction to the Taliban ban of women rights to education in 2022 and has been manually annotated according to Ekman emotion categories. We here detail the data collection and annotation process, present relevant dataset statistics as well as initial experiments on the resulting dataset, benchmarking a number of different neural architectures for the task of Dari emotion classification.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 28 Jun 2023.

Builds on

5 of 23 references.

References · 5

  1. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  2. 2018Learning Word Vectors for 157 Languagescited by 280
  3. 2020ParsBERT: Transformer-based Model for Persian Language Understandingcited by 93
  4. 2018SentiPers: A Sentiment Analysis Corpus for Persiancited by 14
  5. 2022ArmanEmo: A Persian Dataset for Text-based Emotion Detectioncited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.