Drawing Topic DistributionsDocument= Multinomial distribution of topics with alpha
Drawing Word DistributionsTopic = Multinomial distribution of words with beta
Alpha and Beta are just hyperparameters not something themodel learnt
Demo https://neptune.ai/blog/pyldavis-topic-modelling-exploration-tool-that-every-nlp-data-scientist-should-knowAny similarity with traditional ML techniques?
Qualitative analysis and feature engineeringRuijie Xi and Munindar P. Singh. "The Blame Game: Understanding Blame Assignment in Social Media." 6(((ADYNQ^UZNQPS[YP_V^UZ _V^U &_V]T`W\[NQ[YP_V^UNQ\S @_VPSYPNQ\S @`Z[RUL]TZ11, no. 2 (2023): 2267-2276.
Evaluation of TopicsCoherence metricThere is alsoan extrinsic versionhttps://qpleple.com/topic-coherence-to-evaluate-topic-models/
How to Decide Number of TopicsNumber of topicsCoherence
How to Decide Other HyperparametersOnce K is final:Iterate over different values of alpha and beta Choose the values giving the best coherence