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landing	NLU: State of the Art <br /> Text Mining in Python	<br> The Simplicity of Python, the Power of Spark NLP	/backup	true	actions height theme background_color text type url Getting Started error /docs/en/quickstart text type url <i class="fab fa-github"></i> GitHub outline-theme-dark https://github.com/johnsnowlabs/spark-nlp text type url <i class="fab fa-slack-hash"></i> Slack outline-theme-dark https://join.slack.com/t/spark-nlp/shared_invite/zt-lutct9gm-kuUazcyFKhuGY3_0AMkxqA 50vh dark #0296D8	sections title children title excerpt Powerful One-Liners Over a thousand NLP models in hundreds of languages are at your fingertips with just one line of code title excerpt Elegant Python Directly read and write pandas dataframes for frictionless integration with other libraries and existing ML pipelines title excerpt 100% Open Source Including pre-trained models & pipelines title install excerpt background_color actions <h2> Quick and Easy </h2> true NLU is available on <a href="https://pypi.org/project/nlu" target="_blank">PyPI</a>, <a href="https://anaconda.org/JohnSnowLabs/nlu" target="_blank">Conda</a> #ecf0f1 text url Install NLU /docs/en/install title excerpt actions features Right Out of The Box NLU ships with many <b>NLP features</b>, pre-trained <b>models</b> and <b>pipelines</b> <br> It takes in Pandas and outputs <b> Pandas Dataframes </b> <br> All in <u> <b> one line <b> </u> text url Pipelines /docs/en/pipelines text url Models /docs/en/models text url Models /docs/en/models text url Tokenization /#tokenization text url Stemming /#stemmer text url Stopwords removal /#stopwords-removal text url Part-of-Speech (POS) /#part-of-speech--pos text url Multi Class Emotion detection /#multi-class-emotion-detection text url Sentiment detection /#sentiment text url Spell checking /#spellchecking text url Lemmatization /#lemmatization text url Normalization /#normalizers text url Language Classification /#language-classification text url Named Entity Recognition (NER) /#named-entity-recognition--ner- text url NGrams /#ngrams text url Regex Matching /#regex-matching text url Text Matching /#text-matching text url Date Matching /#date-matching text url Chunking /#chunking text url Sentence Detection /#sentence-detector text url Bert Word Embeddings /#word-embeddings-bert text url Elmo Word Embeddings /#word-embeddings-elmo text url Albert Word Embeddings /#word-embeddings-albert text url Xlnet Word Embeddings /#word-embeddings-xlnet text url Glove Word Embeddings /#word-embeddings-glove text url USE Sentence Embeddings /#sentence-embeddings-use text url Bert Sentence Embeddings /#sentence-embeddings-bert text url Elmo Sentence Embeddings /#sentence-embeddings-elmo text url Albert Sentence Embeddings /#sentence-embeddings-albert text url Xlnet Sentence Embeddings /#sentence-embeddings-xlnet text url Glove Sentence Embeddings /#sentence-embeddings-glove text url Multiple Sentence Embeddings at once /#sentence-embeddings-bert text url Bert Chunk Embeddings /#chunk-embeddings-bert text url Elmo Chunk Embeddings /#chunk-embeddings-elmo text url Albert Chunk Embeddings /#chunk-embeddings-albert text url XlnetChunk Embeddings /#chunk-embeddings-xlnet text url Glove Chunk Embeddings /#chunk-embeddings-glove text url Multiple Chunk Embeddings at once /#chunk-embeddings-bert text url USE Document Embeddings /#document-embeddings-use text url Bert Document Embeddings /#document-embeddings-bert text url Elmo Document Embeddings /#document-embeddings-elmo text url Albert Word Embeddings /#document-embeddings-albert text url Xlnet Document Embeddings /#document-embeddings-xlnet text url Glove Document Embeddings /#document-embeddings-glove text url Multiple Document Embeddings at once /#document-embeddings-bert text url Dependency Parsing Unlabelled /#dependency-parsing-unlabelled text url Dependency Parsing Labelled /#dependency-parsing-labelled text url Twitter Sentiment /#twitter-sentiment text url IMDB Movie sentiment /#imdb-movie-sentiment text url Sarcasm Classifer /#sarcasm-classifier text url Cyberbullying Classifier /#cyberbullying-classifier-sexism-and-racism-calssifier text url Spam Classifier /#spam-classifier text url Fake News Classifier /#fake-news-classifier text url Classify Question (6 class) /#classify-question-6-class text url Classify Question (50 class) /#classify-question-50-class true title excerpt benchmark features theme background_color Benchmark Spark NLP 2.5.x obtained the best performing academic peer-reviewed results true false dark #123