Feature extraction techniques are methods used to identify and extract relevant information or patterns from raw data, particularly in the context of machine learning and computer vision. These techniques transform complex data into a simplified representation, making it easier to analyze and understand emotions by capturing essential characteristics from various sources like images, audio, or text.
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