Spark NLP in Action

Spark NLP - World Languages Middle Eastern Languages
Recognize entities in Turkish text
Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and multi-lingual Bert word embeddings.
Recognize entities in Arabic text
Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and language specific embeddings.
Recognize entities in Urdu text
Recognize Persons, Locations and other entities using an out of the box pretrained Deep Learning model and language specific embeddings.
Analyze sentiment in Urdu movie reviews
Detect the general sentiment expressed in a movie review or tweet by using our pretrained Spark NLP sentiment analysis model for Urdu language.
Recognize entities in Persian text
Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and language specific embeddings.
Recognize entities in Hebrew text
Recognize Persons, Locations and Organization entities using an out of the box pretrained Deep Learning model and language specific embeddings.
Turkish News Classifier
Classify Turkish news text using our pre-trained model
Turkish Cyberbullying Detection
This demo shows how cyberbullying content can be automatically detected in Turkish text using Classifier DL model.
Analyze sentiment in Turkish texts
This demo shows how sentiment can be identified (positive or negative) in Turkish texts.
Urdu news classifier
This demo shows how to classify Urdu news into different categories, such as Science, Entertainment, etc.
Urdu fake news classifier
This demo shows how to detect fake Urdu news.
Lemmatizer for Middle Eastern Languages
This demo shows how to lemmatize documents of Middle Eastern languages.