Unstructured data | Web Scraping Tool | ScrapeStorm

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Introduction

Unstructured data refers to data that does not have a clearly defined format or structure and typically exists in the form of free text, multimedia content, social media posts, images, audio, and video. Unlike structured data (such as database tables), unstructured data often requires more context and context to organize and interpret.

Applicable Scene

Unstructured image data has a wide range of applications, including image recognition, object detection, facial recognition, and visual search. Audio data can be used in areas such as speech recognition, sentiment analysis, and speech recognition.

Pros: Unstructured data is often information-rich and provides deep insights into user sentiment, trends, and context. Unstructured data exists in a variety of formats and can be used for a variety of purposes, from text and images to audio and video.

Cons: Processing unstructured data is typically more complex than structured data and requires advanced techniques and tools. Different data sources and inconsistent quality make data cleaning and standardization difficult. Data containing user-generated content may have privacy and legal issues and should be treated with caution.

Legend

1. unstructured data types.

2. Structured Data vs Unstructured Data.

Related Article

Data parsing

Data cleaning

Timestamp

Data extraction

Reference Link

https://www.techtarget.com/searchbusinessanalytics/definition/unstructured-data

https://en.wikipedia.org/wiki/Unstructured_data

https://www.opentext.com/what-is/unstructured-data