I am looking for some guidance on how do we deploy / implement the predictive models we build initially using the training / validation / test data into Production? Till now, I have been building the models and using their results for deriving insights. However, Let’s say I now want to automate this process on the new data of getting output using the predictive model I have built. To elaborate, let’s say I have built a sentiment analysis model by doing text-mining on the customer reviews given for various products and the logistic classifier model is able to predict whether the sentiment is positive or negative along with the probability associated with the review. Now, we want to automate this process for any new product reviews given by customers on the website and feed them to the model built to understand how are the customers feeling about the products they are buying. How to do this? Does it gets deployed as a web-service? If yes, how it is done.
Any thoughts / links for reading materials on this topic would be very helpful. I look forward to hear your thoughts on this.