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Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets
Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets
Summary
Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets is a scholarly article[1].
Key Facts
Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-contextualised-language-models-with-static-character-and-word-embeddings-for-emotional-intensity-and-sentiment
MLA“Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-contextualised-language-models-with-static-character-and-word-embeddings-for-emotional-intensity-and-sentiment.
BibTeX@misc{4ortxyz_enhancing-contextualised-language-models-with-static-character-and-word-embeddings-for-emotional-intensity-and-sentiment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-contextualised-language-models-with-static-character-and-word-embeddings-for-emotional-intensity-and-sentiment}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets — https://4ort.xyz/entity/enhancing-contextualised-language-models-with-static-character-and-word-embeddings-for-emotional-intensity-and-sentiment (retrieved 2026-05-24)
