/Recommendation-System-with-LDA

Topic modelling and NLP with gensim and nltk

Primary LanguageJupyter NotebookMIT LicenseMIT

Recommendation-System-with-LDA

Topic modelling and NLP with gensim and nltk

Concept:

  1. Data cleaning
  2. Data pre-processing (lemmatize, stop words, tokenize)
  3. Finding optimum number of topics with coherence value
  4. Generating topic-word and document-topic distribution matrix
  5. Finding similar products with cosine similarity