Better NLP:

NLP Java: | NLP Clojure: | NLP Kotlin: | NLP Scala: |
NLP using DL4J (cuda):

• General
• Datasets
• Java/JVM
• Courses, Tutorial, Learning resource
• Cloud
• Library, Framework, Models, Tools, Services
• Metaphor detection
• Sentiment analysis
• Presentations
• Notebooks
• Unstructured to structured data
• Summarise text
• Contributing

See General

• UPDATE: 28 new datasets arrived, if you need a dataset for your NLP machine learning task check the Big Bad #NLP Database with more than 200 datasets
• Looking for datasets for #NLP tasks?
• "The Big Bad NLP Database – Quantum Stat"
• NLP datasets

See Java/JVM

See Course, Tutorial, Learning resource

• Cloud based-example: NLP API to analyze Harry Potter & The New York Times
• Applying NLP in Java, all from the command-line | Original post

• Better NLP
• NLP Profiler

See Library, Framework, Models, Tools, Services

See Metaphor detection

See Sentiment analysis

• Natural Language Processing presentation by Ovidiu S.
• Better NLP - presentations
• Training Multi-Billion Parameter Language Models with Megatron Webinar: Slides | NVIDIA/Megatron-LM github | Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism | Subscribe to the Higher Education and Research Newsletter (NVIDIA)

• Doc2vec word embeddings and UMAP visualisation notebook | Data
• NLP using word vectors with Spacy notebook
• Jupyter notebook for entity recognition and sentiment analysis
• Kaggle kernel: NLP uncertainty
• Better NLP - notebooks
• "The Big Bad NLP Notebooks – Quantum Stat"
• BERT Embeddings with TensorFlow 2.0 (notebook)
• Also see notebooks under Natural Language Processing (NLP) in the Notebooks section

• Convert unstructured data to structured data with machine learning
• How do I turn unstructured data into structured data?
• The Use of NLP to Extract Unstructured Medical Data From Text
• Step by step guide to extract insights from free text (unstructured data)

See Summarise text

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the CONTRIBUTING guidelines, also have a read about our licensing policy.

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