Model ID: 3a4dd3157b18d37f3402cdaca8091ddd
Model Name: ner_english
Model Type ID: text-token-classifier
I-PER (Person's name)
I-MISC (Miscellaneous entity)
The Text Token Classifier Model is a "text-token-classifier" which means that will take machine-encoded text as an input and then classify chunks of this text (usually individual words) into pre-defined concepts called "named entities". These named entities help you quickly extract meaningful information from text passages.
Learn more about incorporating the Text Token Classifier Model into your technology stack in our API Guide.
Gather valuable business insights from images, text, and video data using Machine Learning, Natural Language Processing, and Computer Vision.
Assign tags or categories to analyze text based on content. Build models for topic analysis, sentiment analysis, smart reply and more.
Identify unwanted content such as gore, drugs, explicit nudity or suggestive nudity.
Analyze images and return probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Recognize textures and patterns in a two-dimensional image e.g., feathers, woodgrain, petrified wood, glacial ice and overarching descriptive concepts (veined, metallic).
Identify different levels of nudity in your visual data. Ideal for moderating and filtering offensive content from your platform.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.