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Sometimes you want a variety of answers that the bot you build choose from. And to make sure that the bot remembers what has been said during the conversation a script is a way to accomplish this.
Scripts can be included in flows. Let’s create a very basic flow that contains a script.
In language, there are many ways of saying the same thing. That creates a need to optimize the language conditions for your bot so that it can give the correct answer even when other words are used. Here is how you do it in Teneo Studio.
We have earlier seen examples of how to semi-automatically create language conditions based on positive example inputs. For example, we created a syntax trigger that can handle conversations like the following:
Think about how much faster you could sell or help customers by having a chatbot or virtual assistant handling orders. An order process has certain information that needs to be filled out in order to complete the process. When you are building a bot, this is called slot filling. This guide is a walkthrough on how you create a slot filling flow.
You might also like: Slot-Filling Chatbots Will Never Meet Human Expectations
Slot filling is about collecting certain bits of information from the user before a final response can be given. A typical use-case is to make an order of some kind where certain parameters need to be settled before the order can be placed, for example booking a flight or ordering a pair of shoes.
The Teneo platform is delivered with a collection of agile, customizable tools that build on the usual intent recognition that natural language systems offer. Combined with Teneo's unique infrastructure, these tools allow you to cumulatively monitor various aspects of user behavior during a conversation:
| Characteristics of user input | Categories | Examples |
| Sentiment | negative positive |
not happy about this that was a nice answer |
| Intensity cues | capitalization duplication emojis punctuation intensifying vocabulary multiple one-word sentences |
what DAY is this I know, I know :-) what?? what!! what!?! very good, extremely well You. are. great. |
| Abusive language | hate speech profanity violence sexual abuse |
(clearly racist statements) (obscene language) (threats of violence) (explicit sexual references) |
| Controversial themes |
abortion crime death fascism sex suicide terrorism |
I need an abortion. How do I rob a bank? My best friend died. Heil Hitler. Let’s have sex. I want to end it all. What happened on 9/11? |
Think about these categories for a moment. Knowing what happens at the meta-level of a conversation opens numerous powerful possibilities. During the session, you have an opportunity to identify and react to various situations that arise, tailoring the conversation towards a better user experience. After the session, you are able to analyze user sentiment towards company products and services as well as towards acceptance of the system's handling of the users’ issues. In this article, we focus on use cases for sentiment tracking during the session.