Opinion mining can be useful in several ways. i.e, in marketing it helps in judging the success of a new product launch, determine which versions of a product are popular and even differentiate which demographics like or dislike particular features. Online reviews are considered as one of the most essential sources of client opinion. In current scenario, consumers can learn about the products and services using online review resources to make decisions. Suggestion mining can be defined as the process of identifying and extracting sentences from unstructured text that contain suggestion. Suggestions in the form of unstructured text could be found in various social media platforms, discussion forums, review websites and blogs. Deep learning is often unsupervised, masterly regulated contrasting learning. It needs the development of large Neural Networks to make it possible for the machine to learn or compute itself without direct human intervention and we discuss the various types of deep learning techniques of Convolutional Neural Networks, Recurrent Neural Networks, An autoencoder, RBM or Deep Neural Networks. In this survey we have study about the opininonmining , Online reviews,Suggestion mining & also described these challenges, deep leaning & its various techniques.
Key words: Opinion Mining , Online Reviews , Social Media ,Suggestion Mining , Deep Learning , Convolutional Neural Networks , RBM,RNN.
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