On the other hand, use machine learning algorithms and natural language processing (NLP) to understand and respond to user input. These chatbots are train on large datasets of sample conversations, which essentially allows them to learn the patterns and nuances of human language. This allows them to better understand complex or detail input, which allows them to adapt and improve over time. However, machine learning-base chatbots are more difficult to create and require a significant amount of training data to be effective.
In addition to these two broad categories, there are several other commonly use types of chatbots , including :
1. Customer service chatbots
These chatbots are design we walked along central streets to help with common questions and issues, such as placing an order, checking order status, or troubleshooting an issue. They are often integrate into eCommerce websites or messaging apps and help reduce the workload on customer service representatives.
2. Voice-base chatbots
Voice-base chatbots, also known as voice assistants or virtual assistants , are computer programs design to campaigns for local businesses on facebook understand and respond to spoken commands and questions. They are often integrated into smart speakers, smartphones, or other devices and can be used to perform a variety of tasks, such as setting reminders, answering questions, or playing music.
Voice-base chatbots typically use natural language processing (NLP) algorithms to understand the user’s voice and can be rule-base or machine learning-base. Rule-base voicebots are program to search for specific keywords in the user’s input and use the predefine rule to generate a response. Machine learning-base voicebots, on the other hand, are train on large datasets of sample conversations and can learn the patterns and nuances of human language to better understand and respond to user input.
3. Hybrid chatbots
Hybrid chatbots are a type consumer data of chatbots that combine elements of both rule-base and machine learning-basd systems. These chatbots use a combination of predefine rules and machine learning algorithms to understand and respond to user input.
In a hybrid chatbot system, the chatbot may use a set of rules to identify certain keywords or phrases and then leverage machine learning algorithms to create a more natural and appropriate response.
4. Social messaging chatbots
Social messaging chatbots are a type of chatbot design for use on social media platforms and messaging apps. These chatbots are often integrate into popular messaging apps like Facebook Messenger or WhatsApp and are use to provide information, answer frequently ask questions, or assist with tasks like placing orders or scheduling appointments.
Social messaging chatbots are typically built using natural language processing (NLP) algorithms and machine learning techniques that allow them to understand and respond to a wide range of user input.
Overall, social messaging chatbots are a useful way for businesses to communicate with customers and provide information and assistance. They can help reduce the workload on customer service representatives and provide users with a quick and easy way to get the information they need.
5. Menu-based chatbots
Menu-based chatbots are a type of chatbot that uses a predefined menu or flowchart to determine how to respond to user input.
In a menu-based chatbot system, the chatbot presents the user with a series of options or steps to choose from and then uses the user’s response to determine which option to offer. For example, a menu-based chatbot used to book a flight might first ask the user for their desired destination and then present a list of flights available to that destination. The user can then choose from the available options and the chatbot uses their response to guide them through the rest of the booking process.