Device Learning Tutorials. Discover Machine Learning and Synthetic Intelligence

Device Learning Tutorials. Discover Machine Learning and Synthetic Intelligence

NLP Tutorial

  • Introduction to NLP
  • Installing of NLTK
  • An Introduction to N-grams
  • NLP – Stop Words
  • Stemming and Lemmatization
  • Term Tokenization with NLTK
  • TfidfVectorizer for text category
  • CountVectorizer for text category
  • Regular Expression for Text Cleaning in NLP
  • Text Information Cleaning & Preprocessing
  • Various Tokenization Way Of Text Processing
  • Introduction to Term Embeddings
  • Cosine Similarity
  • Jaccard Similarity
  • NLTK – WordNet
  • Text Preprocessing: Handle Emoji & Emoticon
  • Text Preprocessing: Removal of Punctuations
  • TensorFlow : Text Classification
  • Develop the writing Classifier with TensorFlow Hub
  • Introduction to BERT
  • Tensorflow : BERT Fine-tuning with GPU

Cosine Similarity – Text Similarity Metric

Text Similarity has got to figure out how the 2 text papers near to one another with regards to their meaning or context.

There are many different text similarity metric occur such as for example Cosine similarity, Euclidean distance and Jaccard Similarity. Every one of these metrics have actually their very own specification determine the similarity between two questions.