পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ডিসকোর্স অ্যানালাইসিস× | অনুভূতি বিশ্লেষণ× | |
|---|---|---|
| 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 | NLP text-classification task |
| মৌলিক উৎস≠ | Fairclough, N. (1989). Language and power. Longman. link ↗ | Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135. DOI ↗ |
| অপর নাম | DA, Critical Discourse Analysis, Discursive Analysis | opinion mining, polarity detection, duygu analizi |
| সম্পর্কিত≠ | 2 | 3 |
| 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. | 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. |
| ScholarGateডেটাসেট ↗ |
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