Print the top 10 topics, showing the top-weighted terms for each topic. Also, include the total weight in each topic as follows:
var sum = 0.0println(s"${params.k} topics:")topics.zipWithIndex.foreach { case (topic, i) => println(s"TOPIC $i") println("------------------------------") topic.foreach { case (term, weight) => term.replaceAll("\s", "") println(s"$termt$weight") sum = sum + weight }println("----------------------------")println("weight: " + sum)println()
Now let's see the output of our LDA model towards topics modeling:
5 topics: TOPIC 0 ------------------------------ come 0.0070183359426213635 make 0.006893251344696077 look 0.006629265338364568 know 0.006592594912464674 take 0.006074234442310174 little ...
