Sex slave chatbot

10-Nov-2019 23:22

The proposed intelligent bot framework is made up of three main building blocks; conversational intelligence, cognitive intelligence and intelligent authentication as detailed below.It is deployed across all the channels that users interact with, such as messaging applications, mobile applications, phone systems, Web, chat applications and social media.We will start by reviewing the proposed intelligent chatbot framework that revolves around conversational intelligence, cognitive intelligence and intelligent authentication, all within an omni channel strategy.We will then study the proposed reference architecture which goes a step further towards identifying the required components, their integration and functionalities to implement this framework.This ensures that users have a consistent experience regardless of the channel they use.An intelligent bot must be capable of holding a consistent and intelligent, two-way conversation with a user.

he purpose of this article is to introduce a framework and reference architecture that brings together and describes different ideas and approaches to design an intelligent chatbot.It understands the user’s questions and responds to frequently asked questions and routes the rest to the appropriate slave bot (retrieval based or generative) for response and to facilitate the required intelligence services or capabilities.Speech and facial recognition models that authenticate the user and also serves to recognize the user and provide a personalized interaction.One model performs text analytics to identify sentiment in chat responses or voice responses by converting voice to text.Other model performs tone analysis of user’s voice to identify voice patterns which determine emotions in the user’s voice as they speak with the bot.

he purpose of this article is to introduce a framework and reference architecture that brings together and describes different ideas and approaches to design an intelligent chatbot.

It understands the user’s questions and responds to frequently asked questions and routes the rest to the appropriate slave bot (retrieval based or generative) for response and to facilitate the required intelligence services or capabilities.

Speech and facial recognition models that authenticate the user and also serves to recognize the user and provide a personalized interaction.

One model performs text analytics to identify sentiment in chat responses or voice responses by converting voice to text.

Other model performs tone analysis of user’s voice to identify voice patterns which determine emotions in the user’s voice as they speak with the bot.

While legacy speech recognition systems understood what people say, today’s sophisticated natural language processing systems understand what people mean and want to do.