Complete Guide to Topic Modeling (Recommender System for Email Dumps?)

Complete Guide to Topic Modeling with scikit-learn and gensim by George-Bogdan Ivanov.

From the post:

Why is Topic Modeling useful?

There are several scenarios when topic modeling can prove useful. Here are some of them:

  • Text classification – Topic modeling can improve classification by grouping similar words together in topics rather than using each word as a feature
  • Recommender Systems – Using a similarity measure we can build recommender systems. If our system would recommend articles for readers, it will recommend articles with a topic structure similar to the articles the user has already read.
  • Uncovering Themes in Texts – Useful for detecting trends in online publications for example

Would a recommender system be useful for reading email dumps? 😉

Within or across candidates for Congress?

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