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Search similar texts using Topic Modelling

For a given text, retrieve the associated topic and top N similar texts by Topic Modelling approach (LDA).

Approach

  • For a given set of documents:

    • Find the ideal model parameters for topic modelling (LDA) i.e. number of topics, learning decay.
    • Generate document-word matrix with weightage of each word.
    • Generate topic-word matrix with number of words limited to each topic.
  • Predict:

    • For a given text, retreive the best topic.
    • Get the dominant word in the predicted topic.
    • Dominant word ultimately is the topic tag
  • Get similar douments:

    • For a given text, derive distance with all documents.
    • Get the top N documents based on distance.

Output

  • Predict a topic (dominant word associated to the topic) for a given text.
  • Find N similar texts for a given text and documents.

Reference

https://medium.com/@yanlinc/how-to-build-a-lda-topic-model-using-from-text-601cdcbfd3a6

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