I have categorized 800,000 documents into 500 categories using the Mahout topic modelling.Instead of representing the topic using the top 5/10 words for each topics, I want to infer a generic name for the group using any existing algorithm.For the time being, I have used the following algorithm to arrive at the name for the topic:For each topicTake all the documents belonging to the topic (using the document-topic distribution output)Run python nltk to get the noun phrasesCreate the TF file from the outputname for the topic is the phrase (limited towards max 5 words)Please suggest a approach to arrive at more relevant name for the topics.
How to give name to topics created using LDA?
machine learning;data mining;nlp;text mining;topic model