We’re always happy with any other questions you might have. Send us an email at [email protected]
Enrich Socialgist Weibo with Datastreamer Category Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Socialgist Weibo with Datastreamer Category Classifier with a Datstreamer Pipeline.
Quickly connect Socialgist Weibo and Datastreamer Category Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Weibo
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Category Classifier to enrich
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Socialgist Weibo and Datastreamer Category Classifier
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Weibo content provided by Socialgist. Weibo, often referred to as the "Chinese Twitter", is a leading social media platform in China, launched by Sina Corporation in 2009. It provides insights into consumer behavior, sentiment, and trends within the Chinese market.
About Datastreamer Category Classifier
Description
Categorize text into predefined media topics. This classifier can process text from various sources such as news articles, blogs, and social media posts. It helps identify the dominant theme of the content making it easier to organize and analyze large volumes of data. It also support multiple languages, making it adaptable for global markets, and can operate in real-time or batch-processing scenarios.
Experience Seamless Data Integration Yourself
Add Datastreamer components to your data stack and explore its full capabilities