#NLP is among the hottest and most interesting fields in #datascience. Check out these 5 in-depth and hands-on tutorials to learn NLP:

• The Essential NLP Guide to Solve Top 10 Common NLP Tasks - https://bit.ly/2QCCgR1
• Practical Tutorial for Regular Expressions in #Python - https://bit.ly/2QBChVi
• A Gentle Introduction to #TopicModeling - https://bit.ly/2QCCh7x
• Comprehensive and Intuitive Guide to #WordEmbeddings - https://bit.ly/2VKR4Av
• #TextClassification using ULMFiT and fastai Library in Python - https://bit.ly/2VHHEGa

And test your #NaturalLanguageProcessing knowledge on this challenging question set!

• 30 Questions to test a data scientist on Natural Language Processing - https://bit.ly/2jfGGyT

🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN

#NLP is among the hottest and most interesting fields in #datascience. Check out these 5 in-depth and hands-on tutorials to learn #NLP:

1. The Essential NLP Guide to Solve Top 10 Common NLP Tasks - https://lnkd.in/fiXS5Rj
2. Practical Tutorial for Regular Expressions in #Python - https://lnkd.in/fXw-Rdz
3. A Gentle Introduction to #TopicModeling - https://lnkd.in/fDXmt4n
4. Comprehensive and Intuitive Guide to #WordEmbeddings - https://lnkd.in/fvRrFhA
5. #TextClassification using #ULMFiT and #fastai Library in Python - https://lnkd.in/f7bu8jM

And test your #NaturalLanguageProcessing knowledge on this challenging question set!
30 Questions to test a data scientist on Natural Language Processing - https://lnkd.in/fpWBZUh

✴️ @AI_Python_EN

#NLP is among the hottest and most interesting fields in #datascience. Check out these 5 in-depth and hands-on tutorials to learn #NLP:

1. The Essential NLP Guide to Solve Top 10 Common NLP Tasks - https://lnkd.in/fiXS5Rj
2. Practical Tutorial for Regular Expressions in #Python - https://lnkd.in/fXw-Rdz
3. A Gentle Introduction to #TopicModeling - https://lnkd.in/fDXmt4n
4. Comprehensive and Intuitive Guide to #WordEmbeddings - https://lnkd.in/fvRrFhA
5. #TextClassification using #ULMFiT and #fastai Library in Python - https://lnkd.in/f7bu8jM

And test your #NaturalLanguageProcessing knowledge on this challenging question set!
30 Questions to test a data scientist on Natural Language Processing - https://lnkd.in/fpWBZUh

✴️ @AI_Python_EN

#SparkNLP: State of the Art Natural Language Processing
Spark NLP ships with many NLP features, pre-trained models and pipelines #johnsnowlab

NLP Features:
#Tokenization; #Normalizer; #Stemmer; #Lemmatizer; #RegexMatching; #TextMatching; #Chunking; #DateMatcher; #Part-of-speech tagging; #SentenceDetector; #SentimentDetection (ML model); #SpellChecker (ML and DL models); #WordEmbeddings (#BERT and #GloVe); #Namedentityrecognition; #Dependencyparsing (Labeled/unlabled); Easy #TensorFlow integration; #pretrainedpipelines!

Github: https://lnkd.in/fbWquan
Website: https://lnkd.in/fRqsDHX

✴️ @AI_Python_EN