METHOD AND SYSTEM FOR APPLYING PROBABILISTIC TOPIC MODELS TO CONTENT IN A TAX ENVIRONMENT TO IMPROVE USER SATISFACTION WITH A QUESTION AND ANSWER CUSTOMER SUPPORT SYSTEM

摘要

A method and system applies a probabilistic topic model to content in a tax environment to improve user satisfaction with a question and answer customer support system, according to one embodiment. The probabilistic topic model may be the Latent Dirichlet allocation algorithm or other implementations of probabilistic topic models, according to various embodiments. The method and system include receiving submission content from a user, according to one embodiment. The method and system include applying a probabilistic topic model to the submission content to determine submission content topics and submission content statistics, according to one embodiment. The method and system include generating and providing customer support content at least partially based on the submission content topics and at least partially based on the submission content statistics, to facilitate use of the question and answer customer support system by the user, according to one embodiment.