Spark NLP in Action

Spark NLP - World Languages European Languages
Recognize entities in English text
Recognize Persons, Locations, Organizations and Misc entities using out of the box pretrained Deep Learning models based on GloVe (glove_100d) and BERT (ner_dl_bert) word embeddings.
Recognize entities in French text
Recognize entities in French text
Recognize entities in Italian text
Recognize Persons, Locations, Organizations and Misc entities using an out of the box pretrained Deep Learning model and GloVe word embeddings (glove_300d).
Recognize entities in Norwegian text
Recognize Persons, Locations, Organizations and Misc entities using 3 different out of the box pretrained Deep Learning models based on different GloVe word embeddings (glove_100d & glove_300d).
Recognize entities in Polish text
Recognize Persons, Locations, Organizations and Misc entities using 3 different out of the box pretrained Deep Learning models based on different GloVe word embeddings (glove_100d & glove_300d).
Recognize entities in Portuguese text
Recognize Persons, Locations, Organizations and Misc entities using 3 different out of the box pretrained Deep Learning models based on different GloVe word embeddings (glove_100d & glove_300d).
Recognize entities in Russian text
Recognize Persons, Locations, Organizations and Misc entities using 3 different out of the box pretrained Deep Learning models based on different GloVe word embeddings (glove_100d & glove_300d).
Recognize entities in Spanish text
Recognize Persons, Locations, Organizations and Misc entities using 3 different out of the box pretrained Deep Learning models based on different GloVe word embeddings (glove_100d & glove_300d).
Recognize entities in Danish text
Recognize Persons, Locations, Organizations and Misc entities using an out of the box pretrained Deep Learning model and GloVe word embeddings (glove_300d).
Recognize entities in Swedish text
Recognize Persons, Locations, Organizations and Misc entities using an out of the box pretrained Deep Learning model and GloVe word embeddings (glove_300d).
Recognize entities in Finnish text
Recognize Persons, Locations, Organizations and Misc entities using an out of the box pretrained Deep Learning model and GloVe word embeddings (glove_300d).
Prebuilt pipeline for entity recognition in Danish
This SparkNLP out-of-the-box pipeline returns tokens, lemmas, pos, embeddings and NERs in one line of code. It automatically recognizes Persons, Locations, Organizations and Misc entities in Danish text.
Prebuilt pipeline for entity recognition in Swedish
This SparkNLP out-of-the-box pipeline returns tokens, lemmas, pos, embeddings and NERs in one line of code. It automatically recognizes Persons, Locations, Organizations and Misc entities in Swedish text.
Prebuilt pipeline for entity recognition in Finnish
This SparkNLP out-of-the-box pipeline returns tokens, lemmas, pos, embeddings and NERs in one line of code. It automatically recognizes Persons, Locations, Organizations and Misc entities in Finnish text.
Classify German News
Automatically classifies any German news in documents using our out-of-the-box Spark NLP Classifier DL Model.
Analyze sentiment in French texts
This demo shows how sentiment can be identified (positive or negative) in French texts.
Recognize entities in Scandinavian languages
This demo shows how to extract people, locations and organizations from texts written in Scandinavian languages.
Recognize entities in 10 different high resourced languages
This demo shows how to extract people, locations and organizations from texts written in up to 10 different languages (Arabic, Chinese, French, …).
Toxic Content Classifier for Russian
This demo shows how to identify if a Russian text contains toxic content or not.
Identify sentiments in German texts.
This demo shows whether the sentiments are positive or negative in German texts.
Identify sentiments in French texts
This demo shows whether the sentiments are positive or negative in French texts.
Icelandic Typo Detector
This demo shows how to detect typos in Icelandic texts.
Analyze Sentiment in Danish Texts
This demo shows how to identify positive, negative or neutral sentiment in Danish texts.
Lemmatizer for European Languages
This demo shows how to lemmatize documents of European languages.