Uporedite metode

	Klasifikacija dijaloških akata	Klasifikacija teksta
Oblast	Rudarenje teksta	Rudarenje teksta
Porodica	Process / pipeline	Process / pipeline
Godina nastanka	1997–2000	—
Tvorac	Stolcke et al.; Jurafsky et al.	—
Tip	NLP utterance-classification task	Supervised NLP classification task
Temeljni izvor	Stolcke, A. et al. (2000). Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech. Computational Linguistics, 26(3), 339-373.	Joachims, T. (1998). Text Categorization with Support Vector Machines: Learning with Many Relevant Features. ECML 1998. Lecture Notes in Computer Science, vol 1398. Springer.
Drugi nazivi	dialogue act tagging, speech act classification, Diyalog Eylem Sınıflandırma (Dialogue Act Classification)	text categorization, document classification, topic classification, metin sınıflandırma
Srodne	4	4
Sažetak	Dialogue act classification is a natural-language-processing task that automatically labels the communicative function of each utterance in a conversation — such as question, answer, greeting, or rejection. Consolidated by Jurafsky et al. (1997) and Stolcke et al. (2000), it is a foundational component for chatbots and discourse analysis.	Text classification, also called text categorization, is a supervised natural-language-processing task that automatically assigns documents to predefined categories. Building on the support-vector-machine approach to text categorization established by Joachims (1998) and consolidated in the text-mining literature by Aggarwal and Zhai (2012), it powers tasks such as spam detection and topic classification by learning from labelled examples.