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 = 0.0
println(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 0.005876330712306203
 think 0.005153843469004155
 time 0.0050685675513282525
 hand 0.004524837827665401
 well 0.004224698942533204
 ----------------------------
 weight: 0.05805596048329406
 TOPIC 1
 ------------------------------
 thus 0.008447268016707914
 ring 0.00750959344769264
 fate 0.006802070476284118
 trojan 0.006310545607626158
 bear 0.006244268350438889
 heav 0.005479939900136969
 thro 0.005185211621694439
 shore 0.004618008184651363
 fight 0.004161178536600401
 turnus 0.003899151842042464
 ----------------------------
 weight: 0.11671319646716942
 TOPIC 2
 ------------------------------
 aladdin 7.077183389325728E-4
 sultan 6.774311890861097E-4
 magician 6.127791175835228E-4
 genie 6.06094509479989E-4
 vizier 6.051618911188781E-4
 princess 5.654756758514474E-4
 fatima 4.050749957608771E-4
 flatland 3.47788388834721E-4
 want 3.4263963705536023E-4
 spaceland 3.371784715458026E-4
 ----------------------------
 weight: 0.1219205386824187
 TOPIC 3
 ------------------------------
 aladdin 7.325869707607238E-4
 sultan 7.012354862373387E-4
 magician 6.343184784726607E-4
 genie 6.273921840260785E-4
 vizier 6.264266945018852E-4
 princess 5.849046214967484E-4
 fatima 4.193089052802858E-4
 flatland 3.601371993827707E-4
 want 3.5398019331108816E-4
 spaceland 3.491505202713831E-4
 ----------------------------
 weight: 0.12730997993615964
 TOPIC 4
 ------------------------------
 captain 0.02931475169407467
 fogg 0.02743105575940755
 nautilus 0.022748371008515483
 passepartout 0.01802140608022664
 nemo 0.016678258146358142
 conseil 0.012129894049747918
 phileas 0.010441664411654412
 canadian 0.006217638883315841
 vessel 0.00618937301246955
 land 0.00615311666365297
 ----------------------------
 weight: 0.28263550964558276

From the preceding output, we can see that topic five of the input documents has the most weight, at 0.28263550964558276. This topic discusses terms such as captain, fogg, nemo, vessel, and land.