পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ডিসকোর্স অ্যানালাইসিস× | Text Classification× | |
|---|---|---|
| ক্ষেত্র≠ | গুণগত গবেষণা | টেক্সট খনন |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1989 (Fairclough); 1987 (Potter & Wetherell) | — |
| প্রবর্তক≠ | Norman Fairclough; Jonathan Potter and Margaret Wetherell | — |
| ধরন≠ | Method | Supervised NLP classification task |
| মৌলিক উৎস≠ | Fairclough, N. (1989). Language and power. Longman. link ↗ | Joachims, T. (1998). Text Categorization with Support Vector Machines: Learning with Many Relevant Features. ECML 1998. Lecture Notes in Computer Science, vol 1398. Springer. DOI ↗ |
| অপর নাম≠ | DA, Critical Discourse Analysis, Discursive Analysis | text categorization, document classification, topic classification, metin sınıflandırma |
| সম্পর্কিত≠ | 2 | 4 |
| সারসংক্ষেপ≠ | Discourse analysis is a qualitative research methodology that examines how language, communication, and power shape meaning, identity, and social reality. Developed across linguistics, sociology, and psychology (particularly by Norman Fairclough and Jonathan Potter), discourse analysis goes beyond content to analyze language use as a social practice that constitutes and reflects power relations, ideologies, and social structures. | 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. |
| ScholarGateডেটাসেট ↗ |
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