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Detect mentions of people, organizations, locations, filenames, phone numbers, crypto addresses, and more.
Entities are elements of relevance or interest in the text. Tisane extracts both standard entities and those relevant to trust & safety/law enforcement applications.
Standard entities are names of people, their social roles, organizations, places, and so on. We also extract cryptocurrency addresses, bank accounts, credit card numbers, phone numbers, software package names, and more.
Every entity entry is an object made of:
type - the type of the entityname - a standard name, if exists; otherwise, the string that was loggedsubtypes - more detailed additional typessubtype - the first subtype (for backward compatibility purposes)mentions - an array of all detected mentions, with:
offsetlengthsentence_indextextwikidata - a Wikidata ID, if existsWeibo 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.
How Datastreamer works
Quickly apply Tisane Entity Extraction to Socialgist Weibo with a Datstreamer Pipeline.
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.
Add Datastreamer components to your data stack and explore its full capabilities
