Middle Eastern Languages - Spark NLP Demos & Notebooks

Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and multi-lingual Bert word embeddings. (...)

Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and language specific embeddings. (...)

Recognize Persons, Locations and other entities using an out of the box pretrained Deep Learning model and language specific embeddings. (...)

Detect the general sentiment expressed in a movie review or tweet by using our pretrained Spark NLP sentiment analysis model for Urdu language. (...)

Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and language specific embeddings. (...)

Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and language specific embeddings. (...)

Classify Turkish news text using our pre-trained model (...)

This demo shows how cyberbullying content can be automatically detected in Turkish text using Classifier DL model. (...)

This demo shows how sentiment can be identified (positive or negative) in Turkish texts. (...)

This demo shows how to classify Urdu news into different categories, such as Science, Entertainment, etc. (...)

This demo shows how to detect fake Urdu news. (...)

This demo shows how to lemmatize documents of Middle Eastern languages. (...)