1. A method for predicting a personality type of one or more users, the method comprising: retrieving, by one or more microprocessors, one or more messages from a social media platform, wherein the one or more messages include at least one of an audio message, a video message, or a text message; receiving, by a transceiver, a first tag associated with each of the one or more messages, from a crowdsourcing platform, wherein the first tag relates to the personality type of the one or more users; segregating, by the one or more microprocessors, the one or more messages, tagged with the first tag, into a first data set and a second data set, wherein the first data set corresponds to a training data, wherein the second data set corresponds to a testing data, and wherein each of the training data and the testing data comprises a set of messages from the one or more messages; determining, by the one or more microprocessors, one or more parameters associated with the set of messages in the training data based on the one or more messages; determining, by the one or more microprocessors, one or more combinations of the one or more parameters; training, by the one or more microprocessors, one or more classifiers for the personality type, wherein each of the one or more classifiers is trained for a combination from the one or more combinations of the one or more parameters; predicting, by the one or more microprocessors, a second tag for the set of messages in the testing data using the trained one or more classifiers; determining, by the one or more microprocessors, a performance of each of the one or more classifiers, based on a comparison of the second tag with the first tag associated with the set of messages in the testing data; ranking, by the one or more microprocessors, the one or more classifiers based on the performance of each of the one or more classifiers; selecting, by the one or more microprocessors, a classifier from the one or more classifiers based on a result of the ranking, wherein the selected classifier is indicative of a best combination from the one or more combinations of the one or more parameters to predict the personality type of the one or more users; using, by the one or more microprocessors, the selected classifier to categorize at least one of another audio, video, and text messages to identify target users of a product or service; and transmitting, by the transceiver, the identified target users to one or more organizations for the one or more organizations to place advertisement of the product or service on the social media platform targeting the identified target users.