The popularity of chatbots has been on the rise since the past decade. Chatbots are usually used for quick responses to most commonly asked questions on a particular website. Chatbots save time as well as reduce human labor and expenditure. There are so many types of chatbots and each of them specializes, in particular, one or a few fields. The best approach for knowing what kind of chatbot you want to build is as follows —
If you want to build chatbots, the best approach is to look for what are your target audience, companies, or businesses. Making specific chatbots is ideal as you can greatly improve the performance of the distinct task.
In this article, we will be covering how you can build a cool chatbot using one-dimensional convolutional layers. The purpose of this chatbot is to serve as a smart chatbot for the virtual assistant project. I will be using a witty.txt dataset. The link for the pre-processed dataset will be provided along with the code at the end of the article. You can choose other datasets like professional or caring. I prefer a witty dataset because I would like to receive sarcastic funny comments from my chatbot rather than serious stuff. The link to the other set of data can be referred to from here. This is Microsoft’s official bot builder personality chat. They are all in the form of questions and answers. The other personality chat datasets in English are caring, enthusiastic, friendly, and professional. You can feel free to choose any of these as per your convenience.
Note:_ This is part-3 of the virtual assistant series. There will be more upcoming parts on the same topic where we will cover how you can build your very own virtual assistant using deep learning technologies and python._
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