Unstructured data includes text, images, and videos from "summary" of Data Science For Dummies by Lillian Pierson
Unstructured data is a term used to describe any type of data that does not fit neatly into a structured format. This includes text, images, and videos, among other types of information. Unlike structured data, which is organized into tables and rows, unstructured data does not have a predefined format or schema. This makes it more challenging to work with and analyze using traditional data processing tools. Text data, such as emails, social media posts, and documents, is one of the most common forms of unstructured data. Text data can contain a wealth of valuable information, but extracting insights from it requires specialized tools and techniques. Natural language processing (NLP) is a branch of artificial intelligence that focuses on understanding and interpreting human language. Using NLP algorithms, data scientists can analyze text data to extract key words, identify sentiment, and even generate summaries. Images and videos are another important source of unstructured data. With the proliferation of smartphones and social media platforms, the amount of visual data being generated and shared online has exploded in recent years. Analyzing images and videos requires computer vision algorithms, which can identify objects, recognize patterns, and even categorize content. This technology is used in a wide range of applications, from facial recognition and self-driving cars to medical imaging and surveillance systems. In the world of data science, unstructured data presents both challenges and opportunities. On the one hand, unstructured data is messy and difficult to work with, requiring sophisticated tools and techniques to extract meaningful insights. On the other hand, unstructured data contains a wealth of valuable information that can provide unique insights and competitive advantages. By harnessing the power of technologies like natural language processing and computer vision, data scientists can unlock the full potential of unstructured data and drive innovation in a wide range of industries.
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