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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 existsSpanning a diverse range of video platforms, including YouTube, Dailymotion, AcFun, Vimeo, Rumble, BiliBili, and more, this dataset delivers insights into viral trends, viewer engagement, and content strategies. It provides an in-depth understanding of what captures audience attention and drives video content trends. Perfect for media analysis, content strategy development, and exploring the influence of visual media on public opinion.
How Datastreamer works
Quickly apply Tisane Entity Extraction to Socialgist Videos with a Datstreamer Pipeline.
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