Analysis Of Technology Trends Using Topic Modeling & Question Recommendation System

Abstract

Innovation question and answer sites square measure a brilliant stockpile of specialized data. Clients of those sites raise shifted assortments of specialized questions and answer them. These questions cowl a huge change of spaces in designing like Systems, information preparing, Mixed media, Multithreading, web Improvement, Portable Application Advancement, and so on. Breaking down the specific issue substance of those sites will encourage the science and programming framework designing network higher see the needs of engineers and study these patterns in innovation. In that venture, matter information from a prestigious inquiry and answer site known as Stack Flood is dissected abuse the Inert Latent Dirichlet Allocation (LDA) theme displaying algorithmic program. The outcomes show that these strategies encourage finds predominant subjects in designer conversations. These subjects square measure broke down to look out some interesting   Perceptions like popular innovation/language, the effect of innovation, innovation inclines after some time, a relationship of an innovation/language with elective advancements and examination of advances tending to a region of building or programming framework designing