First of all this is all still in very early beta work ! I'm not sure how it got to HN but here it is so all your feedback is great. I'll try to answer some of

First of all this is all still in very early beta work ! I'm not sure how it got to HN but here it is so all your feedback is great. I'll try to answer some of your questions the best I can: 1) The top words are those that characterize the show the best. This is not perfect science, and is an output of the LDA algorithm, but it gives already a good indication. Some words indeed shouldn't be there. Some possible explanation: subtitle mistake or a bug... 2) The words that appear more then once are again a glitch, and should be fixed. Again, work in progress... 3) The top topics are found using a topic modelling algorithm. It splits a corpus of documents into a number of topics, and every documents contains a certain proportion of each topic (20% Police, 80% Terrorism for example). The topics are bag-of-words, and so we manually give them names to what we think fits best. 4) Again beta... I hope the 'about' is clear enough, if you have any questions feel free to ask !