November 28

What programming language is used for chatbots?


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What is a Chatbot?

A chatbot is computer programs that do the human conversion or chat through artificial intelligence. A chatbot is built on the same platform and performs single function namely chat simulated conversions. Chatbots have used an application such as call centers, e-commerce customer service, and internal gaming. A chatbot is for limited conversion not for entire human conversion. It is user interface which connects with some data sources through API, and it can deliver information and service on demand. For example whether forecast. A chatbot is the best software that mainly designed to automate some tasks. You can hire freelancers who have knowledge and experience in how to create a chatbot.

Benefits of creating a chatbot

Digital Donut notes that most businesses are creating and implementing chatbots in an effort to save money and enhance business operations, saying, “chatbots are automated solutions, they allow organizations to handle many customers at once, and simultaneously. By “employing” chatbots that complements human agents, you will not only save on employee costs but you will also avoid the problems caused by human errors.” Chatbots have become a great solution for businesses who want to streamline their customer relationships and management.

Chatbots give customers access to a business 24/7.

Instead of waiting for businesses to be open and staffed, customers can access business information through quality chatbot programming.

Machine learning

On the subject of machine learning, what better approach than to look at some hard data to see which language the experts prefer? In a recent survey of more than 2,000 data scientists and machine learning developers, more than 57 percent of them used Python, while 33 percent prioritized it for development.

Why is this? Similar to NLP, Python boasts a wide array of open-source libraries for chatbots, including scikit-learn and TensorFlow. Scikit-learn is one of the most advanced out there, with every machine learning algorithm for Python, while TensorFlow is more low-level — the LEGO blocks of machine learning algorithms, if you like. This versatility is why Python shines.


AI chatbots leverage a technology called Natural Language Processing (NLP) that deciphers the human language for the chatbot to interpret and give responses. NLP makes it possible for bots to not sound like bots and sound like humans instead. It also has a database of multiple languages, making it possible for developers to deploy multilingual chatbots and enhance a company’s customer support.

While NLP is widely utilized in AI chatbots for a bot to have layered human-like conversations in multiple languages, it would be interesting to note that the very first NLP integration was written in Python.


Java has become the default choice for many programmers, given its clean syntax, strongly typed type-system, high-performance, functional support, rich library, and easy integration with existing systems .

It is an Object-Oriented Programming language that is platform-independent and portable. The JVM memory footprint is so small that it can easily fit even a mobile SIM chip.Its features like multi-threaded support and automatic garbage collection are added advantages.


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