Feature Extraction

Feature extraction is the process of identifying and selecting important characteristics or patterns from data to make it easier to analyze and understand. In general knowledge contexts, this means breaking down complex information into key elements that capture its essence. For example, in an image, features might include shapes, colors, or textures. In text, important words or phrases are identified. This process helps algorithms and models focus on relevant information, improving their ability to recognize patterns, make predictions, or provide insights efficiently.