Notes:

Wolfram Mathematica is a very powerful software platform that has a wide range of applications in technical computing, data analysis, and other fields. Its natural language processing capabilities and programming language make it well-suited for use in dialog systems, allowing developers to build intelligent systems that can interpret and respond to user input in a natural and intuitive way.

Wolfram Mathematica can be used to build chatbots and question answering systems in a number of ways. Here are a few examples:

- Natural language processing: Mathematica includes a range of natural language processing (NLP) tools and algorithms that can be used to analyze and interpret user input in a chatbot or question answering system. These tools can help the system understand the context and intent of the conversation and generate appropriate responses.
- Programming language: Mathematica’s programming language can be used to develop algorithms and logic for managing the conversation in a chatbot or question answering system. For example, the system could use symbolic logic to reason about the context and intent of the conversation, or to generate appropriate responses based on the user’s input.
- Knowledge base: Mathematica’s symbolic mathematics engine can be used to build a knowledge base of information that a chatbot or question answering system can use to respond to user inquiries. The system could use this knowledge base to provide answers to specific questions or to provide information on a wide range of topics.
- Data visualization: Mathematica’s data visualization capabilities can be used to present information to the user in an interactive and visually appealing way. For example, a question answering system could use Mathematica to generate graphs or plots to illustrate the information it is presenting to the user.

Resources:

- wolfram.com/mathematica .. modern technical computing system

Wikipedia:

See also:

100 Best Wolfram Mathematica Videos | Statistical Packages & Dialog Systems

**Chatbot Theory**

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… Another outcome of this paper for chatbots is the possibility of a development process … CACM 59(7), 96–104 (2016)CrossRefGoogle Scholar. 7. Fourault, S.: The ultimate guide to designing a chatbot tech stack (2017)Google Scholar … Bibliotheca Mathematica …

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… recent researches are working on data driven approaches to build fully functional chatbots [16] … Springer, Cham [5] T. Orin, “Implementation of a Bangla chatbot”, Hdl.handle.net, 2017 … [11] “CosineDistance—Wolfram Language Documentation”, Reference.wolfram.com, 2018 …

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