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Chatbot, when it plays its role as a virtual representative of an enterprise, is widely used by businesses outside of the US, primarily in the UK, The Netherlands, Germany and Australia. There are several AIML interpreters, for example PHP AIML interpreter (Program O), Python AIML Interpreter (Py AIML), and Java AIML Interpreter (Chatterbean).
Chatbot can run on local computers and phones, though most of the time it is accessed through the internet. It constitutes a web page with a chatbot embedded in it, and a text form is the sole interface between the user (you) and the chatbot.
GWI’s research shows when they are investigating products that they are thinking about purchasing, it’s 1 in 3 digital consumers who say they turn to social media for more information.
This means that, globally, social media is now the third most important product research channel (being only 2 points behind consumer reviews). 4 in 10 16-24s using social networks to research brands As well as being a key point of product information now, it’s clear that social networks will become even more important in future quarters.
The term Chatbot is closely related to chat bot and chatterbot. Therefore, many “Alicebot clones” populate the internet, having been created based upon the original implementation of A. However, web based bots are not as easy to set up as a stand-alone chatbot application.
Chatterbot is more popular in relation to chatbot who talk a lot, and is not necessary very intelligent in processing the user answers. Setting up a web-based chatbot requires at least minimal experience with HTML, Java Script and Artificial Intelligence Markup Language (AIML).
If we zero in on the ever important 16-24 year-old age bracket, then we see that social networks are the second choice for these consumers when they are researching products (behind only search engines).