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Discourse Analysis

Discourse analysis is an interdisciplinary field of study that examines how language is used in real-world contexts beyond the sentence level, focusing on the structure, function, and social implications of spoken or written communication. It explores how meaning is constructed through language in various settings, such as conversations, media, or institutional texts, and considers factors like power dynamics, cultural norms, and context. This approach is widely applied in linguistics, sociology, anthropology, and communication studies to understand human interaction and societal discourse.

Also known as: DA, Discourse Studies, Text Analysis, Conversation Analysis, Linguistic Analysis
🧊Why learn Discourse Analysis?

Developers should learn discourse analysis when working on natural language processing (NLP), chatbots, sentiment analysis, or content moderation systems, as it provides insights into how language conveys meaning, intent, and social cues in user interactions. It is particularly useful for improving AI models that handle human language, such as in customer service bots or social media analysis tools, by enabling a deeper understanding of context, sarcasm, or implicit biases in text data.

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