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Title: GitHub - TheWoops/Natural-Language-Processing: State-of-the-art NLP principles and methods for toxic comment classification

Open Graph Title: GitHub - TheWoops/Natural-Language-Processing: State-of-the-art NLP principles and methods for toxic comment classification

X Title: GitHub - TheWoops/Natural-Language-Processing: State-of-the-art NLP principles and methods for toxic comment classification

Description: State-of-the-art NLP principles and methods for toxic comment classification - TheWoops/Natural-Language-Processing

Open Graph Description: State-of-the-art NLP principles and methods for toxic comment classification - TheWoops/Natural-Language-Processing

X Description: State-of-the-art NLP principles and methods for toxic comment classification - TheWoops/Natural-Language-Processing

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https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#natural-language-processing
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#data-preparation
Basic NLP-Preprocessing Techniques (Python Code Snippets) https://nbviewer.jupyter.org/github/TheWoops/Natural-Language-Processing/blob/master/Data_Preparation.ipynb
Data Exploration - Quora Kaggle Competitionhttps://nbviewer.jupyter.org/github/TheWoops/Natural-Language-Processing/blob/master/Data_Exploration.ipynb
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#modeling
Custom Keras NN-Modelhttps://nbviewer.jupyter.org/github/TheWoops/Natural-Language-Processing/blob/master/Finaler_Prototyp.ipynb
ELMO via TensorflowHub showcase for the Quora Datasethttps://nbviewer.jupyter.org/github/TheWoops/Natural-Language-Processing/blob/master/Transfer_Learning_ELMO_mit_TensorflowHub.ipynb
Deep contextualized word representationshttps://arxiv.org/abs/1802.05365
BERT via TensorflowHub showcase for the Quora Datasethttps://nbviewer.jupyter.org/github/TheWoops/Natural-Language-Processing/blob/master/Transfer%20Learning_BERT_mit_TensorflowHub.ipynb
"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"https://arxiv.org/abs/1810.04805
XLNET with SpaCy-Pytorch Transformers showcase for the Quora Datasethttps://nbviewer.jupyter.org/github/TheWoops/Natural-Language-Processing/blob/master/Transfer%20Learning_XLNet_mit_SpaCy.ipynb
XLNet: Generalized Autoregressive Pretraining for Language Understandinghttps://arxiv.org/abs/1906.08237
BERT with SpaCy-Pytorch-Transformers showcase for the Quora Datasethttps://nbviewer.jupyter.org/github/TheWoops/Natural-Language-Processing/blob/master/Transfer%20Learning_BERT_mit_%20SpaCy.ipynb
"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"https://arxiv.org/abs/1810.04805
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https://www.d2l.ai/chapter_attention-mechanism/attention.htmlhttps://www.d2l.ai/chapter_attention-mechanism/attention.html
https://course.fast.ai/index.htmlhttps://course.fast.ai/index.html
http://nlp.fast.ai/category/classification.htmlhttp://nlp.fast.ai/category/classification.html
https://en.d2l.ai/d2l-en.pdfhttps://en.d2l.ai/d2l-en.pdf
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#nlp
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#preprocessing--embeddings
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Matcher Demohttps://explosion.ai/demos/matcher
http://textmining.wp.hs-hannover.de/Preprocessing.htmlhttp://textmining.wp.hs-hannover.de/Preprocessing.html
http://textmining.wp.hs-hannover.de/tutorials.htmlhttp://textmining.wp.hs-hannover.de/tutorials.html
Nice Article about Embeddings and Language Modelshttps://towardsdatascience.com/from-word-embeddings-to-pretrained-language-models-a-new-age-in-nlp-part-2-e9af9a0bdcd9
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#modeling-1
https://github.com/explosion/spacy-pytorch-transformershttps://github.com/explosion/spacy-pytorch-transformers
How to Fine Tune BERThttps://arxiv.org/pdf/1905.05583.pdf
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#evaluation
AI Fairness 360 - Bias, Fairness Testinghttps://github.com/IBM/AIF360
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nlp.stanford 1https://web.stanford.edu/~jurafsky/slp3/
nlp.standford 2https://nlp.stanford.edu/fsnlp/
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#nlp--nltk-book-and-nlpstanford-1--nlpstandford-2
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http://www.arxiv-sanity.com/http://www.arxiv-sanity.com/
https://www.aclweb.org/anthologyhttps://www.aclweb.org/anthology
https://github.com/sebastianruder/NLP-progress/blob/master/english/sentiment_analysis.mdhttps://github.com/sebastianruder/NLP-progress/blob/master/english/sentiment_analysis.md
https://github.com/keon/awesome-nlp#research-summaries-and-trendshttps://github.com/keon/awesome-nlp#research-summaries-and-trends
https://patch-diff.githubusercontent.com/TheWoops/Natural-Language-Processing#natural-language-processing-1
gensimhttps://github.com/RaRe-Technologies/gensim
langid.pyhttps://github.com/saffsd/langid.py
nltkhttp://www.nltk.org/
patternhttps://github.com/clips/pattern
polyglothttps://github.com/aboSamoor/polyglot
pytexthttps://github.com/facebookresearch/pytext
PyTorch-NLPhttps://github.com/PetrochukM/PyTorch-NLP
spacyhttps://spacy.io/
stanfordnlphttps://github.com/stanfordnlp/stanfordnlp
flairhttps://github.com/zalandoresearch/flair
fastaihttps://github.com/fastai/fastai
fastai V2 latest paperhttps://arxiv.org/pdf/2002.04688
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