Definition of «extraction»

Usage examples

1. Text extraction: The process of extracting relevant information or data from a piece of text or document. For example, extracting key details like names, dates, and addresses from a resume or extracting product descriptions from online reviews.
2. Data extraction: The process of extracting structured or unstructured data from various sources or databases. For instance, extracting customer information from a CRM system or extracting sales data from an e-commerce website.
3. Feature extraction: In machine learning, the process of extracting the most important or representative features from raw data. This helps in reducing the dimensionality and improving the performance of models. For example, extracting relevant features like word frequency or sentiment analysis from text data.
4. Image extraction: The process of extracting specific information or objects from an image. This is often used in image recognition or computer vision applications. For instance, extracting faces from a group photo or extracting barcode information from a product image.
5. DNA extraction: In biology, the process of isolating DNA from cells or tissues for further analysis or experimentation. This involves breaking open the cells and separating DNA strands from other cellular components.
6. Mineral extraction: The process of removing valuable minerals or ores from the earth's crust for economic purposes. This includes various methods like mining, drilling, or excavation to extract metals, coal, oil, or natural gas.
7. Tooth extraction: In dentistry, the surgical removal of a tooth from its socket. This procedure may be necessary for various reasons, such as severe tooth decay, gum disease, or overcrowding of teeth.
8. Essence extraction: In perfumery or flavoring, the process of extracting aromatic compounds or flavors from natural sources like plants, flowers, or fruits. This extraction is done to obtain concentrated essences or oils used in the production of perfumes or food additives.