Natural-Language-Processing-Specialization

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NLP_with_classification_and_VectorSpaces

Analayzing tweets as positive or negative sentiment with the help of supervised machine learning model

Steps

• Build Vocabulary
• Preprocessing(STOP-Wrods, Handles and Stemming)
• Set of Positive and Negative frequencies
• Feature Extraction
• Logisitic Rgreesion and Naive Bayes Classifier

Naive Machine Translation and LSH

Steps

• Word Embeddings
• transform matrices
• compute the Loss function and gradient loss
• Finding the optimal R with gradient descent algorithm
• LSH and document search
  • Create Hash Table
  • Approximate KNN