/NLP-with-Python

Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing. Regex for pattern searching, Stemming and lemmatization, Part of Speech tagging to auto process raw text files, Named Entity Recognition, Topic Modelling etc

Primary LanguageJupyter Notebook

NLP_king

Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing

  1. Regex for pattern searching
  2. Stemming and lemmatization
  3. Part of Speech tagging to auto process raw text files
  4. Visualize POS and NER with Spacy
  5. Use Latent Dirichlet Allocation for Topic Modelling
  6. Word2vec algorithm
  7. Deep Learning to build own chat bot
  8. Spacy for ultra fast tokenization
  9. Vocab matching with Spacy
  10. Named Entity Recognition
  11. Scikit-Learn for text classification
  12. Non-negative matrix factorization
  13. NLTk for sentiment Analysis