Gensim primarily uses algorithms like Latent Dirichlet Allocation (LDA) and Word2Vec for its operations. Hereâs a brief overview:
LDA: This algorithm helps in topic modeling by discovering the underlying topics in a collection of documents. For email marketing, this means you can identify the main themes that your audience is interested in. Word2Vec: This model helps in understanding the context of words in a text. You can use it to find the most relevant keywords and phrases that will likely capture your audience's attention.