Entity Extraction can identify individuals, companies, places, organization, cities and other various types of entities. The entity extraction API can extract this information from any type of text, webpage or social media network.
Entity Extraction API seeks to locate and classify elements in text into definitive categories such as names of persons, organizations, locations. It can extract this information in any type of text, be it a web page, piece of news or social media content.
The API uses Deep Learning technology to determine representations of character groupings.The text to be analyzed is broken into word groups and words are further broken down to character groups and neural network trains on both of these granularities. The hypothesis behind the algorithm is that there are two important aspects which determine if a word is a proper noun, the first is the composition of a word, what syllables it uses and what sounds it comprises of and the second is the adjacent words to the considered word.
Text classification can come in handy whenever there is a need of organizing large corpus. Platforms such as E-commerce, news agencies, content curators, blogs, directories, government, academia, and likes can use automated technologies to classify and tag content and products. Text classification can be customized heavily to aid highly selective situations involving analyzing and classifying texts.
Highly accurate classification of unstructured textual data
State of the art technology to provide accurate results real-time
Can be trained on custom dataset to obtain similar accuracy and performance