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We are very happy to announce NLU 1.1.2 has been released with the integration of 30+ models and pipelines Bengali Named Entity Recognition, Hindi Word Embeddings, and state-of-the-art transformer based OntoNotes models and pipelines from the incredible Spark NLP 2.7.3 Release in addition to a few bugfixes. In addition to that, there is a new NLU Webinar video showcasing in detail how to use NLU to analyze a crypto news dataset to extract keywords unsupervised and predict sentimential/emotional distributions of the dataset and much more!
NLU basics POS/NER/Sentiment Classification/BERTology Embeddings
Related posts
- Spark NLP 5.1.0: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!
- PySpark for NLP Workshop - Materials and Jupyter Notebooks
- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp
- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp
- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp