Black Friday is that time of the year when we all go crazy for shopping, and that is amazing news for all the retailers who have their products online. As the number of e-commerce users grows, they start experiencing the same problems they used to suffer while going to brick and mortar locations.
Natural Language Processing and data mining have been around for a while, and they are both considered as interesting fields to research about. However, it is not easy to find a novel problem or approach for any of them.
If you are building your conversational bot at Amazon Lex’s platform, you are about to hear some good news. You may have noticed training data is scarce and unless you are a really big company you won’t have the necessary dataset of sentences to train the chatbot quickly enough. Even if you are, you still have to spend time and money in hand-tagging those sentences into the right intents and entities. This is a common problem chatbot builders are running into.