A Technical Journalist who loves writing about Machine Learning and…
The technologies in AI are now witnessing an exponential graph at the current scenario. Although there is no such thing as the best programming language in artificial intelligence, it all depends on the functionality of the artificial intelligence application that is desired for the development.
Chatbots are not new in the arena, in the early 1960s ELIZA was created which was worth exploring. There are some important points that one has to keep in mind in order to create an efficient chatbot such as understanding the target audience, getting the depth of natural language of the communication, understanding the intentions of the end users and providing responses according to the situation, etc.
In this article, we list down the six best languages that are suitable to build an AI-chatbot.
(The list is in alphabetical order)
This general purpose programming language provides easy access to Java Frameworks with optional type hints as well as type inference. It is a member of the Lisp family which shares code-as-data philosophy and a powerful macro system. The functional language runs on Java Virtual Machine and allows you to compose code as a series of functions. The programming language offers a software transactional memory system and reactive Agent system that ensure clean, correct and multi-threaded designs. It also highlights recursion and higher-order functions rather than side-effect-based looping.
To start building your own chatbot using Clojure, Click here.
This multi-paradigm programming language can provide you the high-level features that you need for building an AI-chatbot. Coding is easy and simple in this language and has the most vital features for a refined interface. The standard Widget toolkit, as well as the visualisation feature, helps a developer to keep monitoring their work on a regular basis.
Click here to build your own chatbot using Java.
Lisp, the second oldest high-level programming language has developed to become a dynamic and efficient language over time. It has become one of the most popular programming languages for building chatbots. It has dynamic prototyping capabilities and can process symbolic information effectively. Its adaptation to the needs of the solution makes it more efficient in solving specific problems. It also has dynamic features like the development cycle allows interactive evaluation of expressions as well as recompilation of files while the program is still running. It has also been used in AI projects such as DART, CYC, etc.
If you are interested in creating a chatbot with Lisp, Click here.
Python is one of the most important programming languages for building an AI-chatbot because of its syntax, versatility and many such features. It is known for its large variety of libraries and lesser development time. This portable language allows creating interactive, modular, dynamic high-level code for a developer working on any platform. It supports the development of natural language processing solutions which is ideal in making a chatbot.
Click here to build your first chatbot using Python.
This open source language is easy to use and creating a chatbot can be resulted to be very cost-effective. There a number of libraries available for you to work with. The functionalities in this language are way quicker than other scripting languages. This high-level language is utilised to create a chatbot that will work in an intricate IT environment.
If you want to try building your own chatbot using PHP, Click here.
Ruby is a dynamic, interpreted, object-oriented, open-source programming language that has an elegant syntax which is easy to read and write. This language supports multiple programming paradigm and has a dynamic type system as well as automatic memory management.
Click here to start building your own ai-chatbot by using Ruby.
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A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box. Contact: firstname.lastname@example.org