Krahasoni metodat

	Analiza Semantike	Analiza e ndjenjave
Fusha	Nxjerrja e tekstit	Nxjerrja e tekstit
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1996 (modern neural revival c. 2018)	—
Krijuesi	Zelle & Mooney (1996) — foundational supervised approach	—
Lloji	NLP structured-prediction task	NLP text-classification task
Burimi themelues	Zelle, J.M. & Mooney, R.J. (1996). Learning to Parse Database Queries Using Inductive Logic Programming. AAAI.	Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135.
Emërtime të tjera	Anlamsal Ayrıştırma (Semantic Parsing), NL-to-SQL, text-to-SQL, natural language understanding	opinion mining, polarity detection, duygu analizi
Të lidhura	5	3
Përmbledhja	Semantic parsing is a natural-language-processing task that converts free-text utterances into executable formal representations such as SQL queries, logical forms, or Abstract Meaning Representations (AMR). Established in its supervised learning form by Zelle and Mooney in 1996 and scaled to cross-domain settings by the Spider benchmark (Yu et al., 2018), it bridges the gap between human language and machine-executable structures.	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.