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
- Topic modelling
- Presentations
- Notebooks
- Unstructured to structured data
- Text Data Augmentation
- 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
- Topic Modeling in Python using PyCaret ☟ | Topic Modeling on PyCaret (Medium post)
- Topic modeling helps discover abstract topics
- 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)
- NLP Profiler: Demo | First presentation: Abhishek Talks | Follow-up presentation: NLP Zurich
- Also see Presentations
- 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)
- Date/Time Helpers
- Easy Data Augmentation for Text Classification: Video | Kernel
- SentAugment is a data augmentation technique for semi-supervised learning in NLP
See Summarise text
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Please have a look at the CONTRIBUTING guidelines, also have a read about our licensing policy.
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