Σύγκριση μεθόδων

	Εξόρυξη Γνώμης	Εξόρυξη Επιχειρημάτων
Πεδίο	Εξόρυξη Κειμένου	Εξόρυξη Κειμένου
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2012	2016
Δημιουργός	Bing Liu	Lippi & Torroni (state-of-the-art survey)
Τύπος	NLP information-extraction task	NLP information-extraction task
Θεμελιώδης πηγή	Liu, B. (2012). Sentiment Analysis and Opinion Mining. Morgan & Claypool.	Lippi, M. & Torroni, P. (2016). Argumentation Mining: State of the Art and Emerging Trends. ACM Transactions on Internet Technology, 16(2), Article 10, 1-25.
Εναλλακτικές ονομασίες	aspect-based sentiment analysis, opinion extraction, Görüş Madenciliği (Opinion Mining)	argumentation mining, argument extraction, Argüman Madenciliği
Συναφείς	3	4
Σύνοψη	Opinion mining is a natural-language-processing task that systematically extracts and analyses user opinions about a product, service, or topic — identifying the specific features (aspects) being discussed, the sentiment expressed toward each, and the opinion holders. Consolidated by Bing Liu (2012), it goes beyond a single document-level label to produce structured aspect–opinion–holder records.	Argument mining is a natural-language-processing task that automatically detects claims, premises and the argumentative structures that link them within text. Consolidated as a field by Lippi and Torroni's 2016 state-of-the-art survey, it is applied to scientific writing, legal documents and debate analysis to turn free-form argumentation into structured, analysable units.