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Results tagged with text-mining
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user 164271
Refers to a subset of data mining concerned with extracting information from data in the form of text by recognizing patterns. The goal of text mining is often to classify a given document into one of a number of categories in an automatic way, and to improve this performance dynamically, making it an example of machine learning. One example of this type of text mining are spam filters used for email.
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How to get the topic coverage for a document using LDA?
I have three distributions of topic obtained by Latent Dirichlet allocation:
theme_1 = {cat*0.7, dog*0.2, pet*0.1},
theme_2 = {salad*0.5, fish*0.3, chicken*0.2},
theme_3 = {cuisine*0.4, food*0.3, t …
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