Krahasoni metodat

	Detektimi i Spekulimit	Analiza e ndjenjave
Fusha	Nxjerrja e tekstit	Nxjerrja e tekstit
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1996 (lexicon approach); 2010 (CoNLL shared task)	—
Krijuesi	Hyland, K. (lexicon-based framing, 1996); Farkas et al. (shared-task benchmark, 2010)	—
Lloji	NLP text-classification task	NLP text-classification task
Burimi themelues	Hyland, K. (1996). Writing Without Conviction? Hedging in Science Research Articles. Applied Linguistics, 17(4), 433-454.	Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135.
Emërtime të tjera	hedging detection, epistemic modality analysis, hedge detection, Belirsizlik / Spekülasyon Tespiti (Hedging)	opinion mining, polarity detection, duygu analizi
Të lidhura	5	3
Përmbledhja	Speculation detection, also known as hedging analysis, is a natural-language-processing task that identifies epistemic uncertainty markers — words and phrases such as 'may', 'possibly', 'it is suggested that' — within scientific, biomedical, and news texts. Formalised by Hyland (1996) for scientific writing and benchmarked by the CoNLL-2010 shared task, the method reveals where authors signal incomplete knowledge, tentativeness, or distance from a claim rather than asserting facts directly.	Sentiment analysis, also called opinion mining, is a natural-language-processing task that detects the emotional tone of text — typically classifying it as positive, negative, or neutral. It turns unstructured opinion text into structured, quantifiable polarity signals using one of three families of approaches: sentiment lexicons, trained machine-learning classifiers, or pretrained transformer models.