5. A system for classifying a multimedia content, comprising: a memory storing (a) a database that stores a set of predetermined words, (b) instructions to configure the processor, and (c) a set of modules; and a processor configured by the instructions to execute the set of modules, wherein the set of modules comprises: an offline module, when executed by the processor, processes a plurality of multimedia content, wherein the offline module includes a feature extraction module that is capable of extracting a plurality of features from metadata obtained from the plurality of multimedia content to obtain a set of extracted features; and a model creation module that is capable of performing a topic modeling on the set of extracted features associated with the plurality of multimedia content to obtain a set of topic models, and a set of topic keywords, wherein each of the set of topic models comprises a plurality of explicit content topics that are associated with the each of the plurality of multimedia content and a content topic identification module that is capable of identifying at least one explicit content topic from the plurality of explicit content topics based on (i) the set of topic keywords, and (ii) the set of predetermined words, wherein an ID is assigned to each topic and assigning a weight to each topic, and wherein a validation set is created and wherein an accuracy of the validation set is calculated based on one or more topic models, and wherein a topic model is selected based on calculated accuracy value for categorizing one or more multimedia content; and an online module, when executed by the processor, processes a multimedia content to obtain at least one feature, and metadata associated with the multimedia content, wherein the online module comprises: a derivation module that is capable of deriving a topic distribution based on the at least one feature and the set of topic models and a classification module that is capable of classifying the multimedia content as (i) all explicit multimedia content, or (ii) a non-explicit multimedia content based on the at least one explicit content topic, and the topic distribution, and wherein the topic distribution comprises a distribution vector of the plurality of explicit content topics associated with the plurality of multimedia content, and wherein the multimedia content is classified based on a topic weight and explicit content sub-topics.
5. A system for classifying a multimedia content, comprising: a memory storing (a) a database that stores a set of predetermined words, (b) instructions to configure the processor, and (c) a set of modules; and a processor configured by the instructions to execute the set of modules, wherein the set of modules comprises: an offline module, when executed by the processor, processes a plurality of multimedia content, wherein the offline module includes a feature extraction module that is capable of extracting a plurality of features from metadata obtained from the plurality of multimedia content to obtain a set of extracted features; and a model creation module that is capable of performing a topic modeling on the set of extracted features associated with the plurality of multimedia content to obtain a set of topic models, and a set of topic keywords, wherein each of the set of topic models comprises a plurality of explicit content topics that are associated with the each of the plurality of multimedia content and a content topic identification module that is capable of identifying at least one explicit content topic from the plurality of explicit content topics based on (i) the set of topic keywords, and (ii) the set of predetermined words, wherein an ID is assigned to each topic and assigning a weight to each topic, and wherein a validation set is created and wherein an accuracy of the validation set is calculated based on one or more topic models, and wherein a topic model is selected based on calculated accuracy value for categorizing one or more multimedia content; and an online module, when executed by the processor, processes a multimedia content to obtain at least one feature, and metadata associated with the multimedia content, wherein the online module comprises: a derivation module that is capable of deriving a topic distribution based on the at least one feature and the set of topic models and a classification module that is capable of classifying the multimedia content as (i) all explicit multimedia content, or (ii) a non-explicit multimedia content based on the at least one explicit content topic, and the topic distribution, and wherein the topic distribution comprises a distribution vector of the plurality of explicit content topics associated with the plurality of multimedia content, and wherein the multimedia content is classified based on a topic weight and explicit content sub-topics. 6. The system of claim 5 , wherein the multimedia content is classified as the explicit multimedia content based on a selection of at least one topic model from the set of topic models.