Answer ( 1 )

  1. Topic modeling deals with mining large amounts of text data to identify topics in
    them and to identify hidden patterns in the data. It is an unsupervised approach.
    For example, if there is an article which has recurring occurrences of words like
    “Farm”,”Produce”,”Crop”,”Soil”,”water” , then we can infer that the article is related
    to “Farming”, which is our topic.

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