This was the time when there were very few innovations in the field. This was mostly because of constraints of data processing. Preset rules were defined and this model tried to understand the language by applying the rules to every single data set it confronts. The latent Dirichlet allocation is one of the most common methods. The LDA presumes that each text document consists of several subjects and that each subject consists of several words. The input LDA requires is merely the text documents and the number of topics it intends. The possibility that a specific document refers to a particular term; this is dependent on how many words from…