Σύγκριση μεθόδων

	Αναφορά συν-αναφοράς	Ανάλυση Συναισθήματος
Πεδίο	Εξόρυξη Κειμένου	Εξόρυξη Κειμένου
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1978	—
Δημιουργός	Hobbs (1978); Lee et al. (2017, neural end-to-end)	—
Τύπος	NLP information-extraction task	NLP text-classification task
Θεμελιώδης πηγή	Lee, K. et al. (2017). End-to-end Neural Coreference Resolution. EMNLP.	Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135.
Εναλλακτικές ονομασίες	coreference, anaphora resolution, Eşgönderim Çözümleme (Coreference Resolution)	opinion mining, polarity detection, duygu analizi
Συναφείς	4	3
Σύνοψη	Coreference resolution is a natural-language-processing task that detects when different expressions in a text refer to the same entity — for example a name, a later pronoun, and a descriptive phrase all pointing at one person. Rooted in early linguistic work by Hobbs (1978) and advanced by the end-to-end neural model of Lee et al. (2017), it improves the quality of information extraction and text understanding.	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.