You can choose Java for its high-level features that are needed to build an Artificial Intelligence chatbot. Coding is also seamless because of its refined interface. Java’s portability is what makes it ideal for chatbot development.
Most importantly, Java holds significant popularity globally, which means it makes it easy for you to hire developers from anywhere in the world based on your budget. Java is also highly scalable since it has an inbuilt garbage collection, is lean and highly portable, and is a go-to language for easy coding with advanced features. Java provides a standard Widget toolkit that makes it convenient for chatbot developers to build a bot and monitor it regularly.
While building chatbots, these are the top 10 programming languages that you must know of.
Post pandemic, AI has become one of the top agendas for businesses as it offers enhanced customer experience, resilience, and reliability. With the advancement of AI, applications like chatbots are now used in almost every sector. Here are the 10 most popular programming languages that you should know of while building chatbots.
Why Python and not the others: natural language processing
Python is essentially the Swiss Army Knife of coding thanks to its versatility. It also is one of the easier languages for a beginner to pick up with its consistent syntax and language that mirrors humans.
This meant that when Python was first released it was applied to more diverse cases than other languages such as Ruby, which was restricted to web design and development. Meanwhile, Python expanded in scientific computing, which encouraged the creation of a wide range of open-source libraries that have benefited from years of R&D.
Java is a multi-paradigm language that has high-level programming features. You require these features to build a robust AI-powered chatbot. The best part is coding in Java is easy and the language is user-friendly. You can utilize the vital features of this refined interface to develop a chatbot.
The standard widget and the visualization feature of the language can further help the programmer to monitor work regularly.
Python has a minimalistic framework, boasts simple syntax and has the support of the most advanced AI libraries.
It is easier for developers to define strategic roadmaps for the chatbots to take under different scenarios. Python’s ability to develop throw-away prototypes helps zero in on the final specifications early and refined iterations of the accepted prototype.