What does unstructured data include?
Unstructured data is not clearly defined, Formatted and organized data. These data are usually presented in natural language, image, audio frequency, Video and other forms exist, And it is not easily processed or parsed by traditional computer programs or algorithms. Here are some common types and contents of unstructured data:
Natural language text: Unstructured natural language text is the most common type of unstructured data. It is composed of human language, Include email, Posts on social media, News articles, Blog articles, Comments, etc. These text data do not have a fixed format and structure, Usually contains a lot of noise and Semantic information.
Image and video data: Image and video data are typically stored in the form of pixels and colors, Rather than structured data. These data usually need to be classified, distinguish, Marking and description, For better management, Processing and analysis.
Audio data and voice signals: Audio and voice signals are another type of unstructured data, Usually used for speech recognition, Speech Style Recognition, Emotional analysis and other fields. These data are typically composed of different sound signals, They need to be converted into digital signals, So that the computer can perform analysis.
Sensor data: Some sensors (For example, temperature sensors, humidity sensor , Accelerometer, Sound sensors, etc) The generated data is usually unstructured. These data need to be processed and purified, So that computers can analyze and model it.
Web data: Many data on the internet are unstructured. for example, Data crawled by search engines, Data captured by web crawler, Network logs, Comments on e-commerce websites, etc. These data need to be processed and analyzed, For prediction and decision-making purposes-making.
in short, Unstructured data has a wide range of contents, Including natural language text, image, video, audio frequency, Sensor data and network data, etc. Data scientists can use various technologies, Like machine learning, Natural language processing, computer vision , Analyze these data through speech recognition and other methods, In order to extract useful knowledge from it, And make better decisions for the organization.
Natural language text: Unstructured natural language text is the most common type of unstructured data. It is composed of human language, Include email, Posts on social media, News articles, Blog articles, Comments, etc. These text data do not have a fixed format and structure, Usually contains a lot of noise and Semantic information.
Image and video data: Image and video data are typically stored in the form of pixels and colors, Rather than structured data. These data usually need to be classified, distinguish, Marking and description, For better management, Processing and analysis.
Audio data and voice signals: Audio and voice signals are another type of unstructured data, Usually used for speech recognition, Speech Style Recognition, Emotional analysis and other fields. These data are typically composed of different sound signals, They need to be converted into digital signals, So that the computer can perform analysis.
Sensor data: Some sensors (For example, temperature sensors, humidity sensor , Accelerometer, Sound sensors, etc) The generated data is usually unstructured. These data need to be processed and purified, So that computers can analyze and model it.
Web data: Many data on the internet are unstructured. for example, Data crawled by search engines, Data captured by web crawler, Network logs, Comments on e-commerce websites, etc. These data need to be processed and analyzed, For prediction and decision-making purposes-making.
in short, Unstructured data has a wide range of contents, Including natural language text, image, video, audio frequency, Sensor data and network data, etc. Data scientists can use various technologies, Like machine learning, Natural language processing, computer vision , Analyze these data through speech recognition and other methods, In order to extract useful knowledge from it, And make better decisions for the organization.
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Classification of this article: Industry Information
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Release date: 2023-04-21 16: 03: 18
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Link to this article: https: //www. fangcloud. com/cms/hyzx/660. html
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