Here are the seven common AI techniques used in chatbots:
1. Natural Language Processing (NLP)
Natural language processing is one of the most fundamental AI techniques used in chatbots. In fact, this is the foundation of understanding how artificial intelligence is being used in chatbots
2. Named Entity Recognition (NER)
A subtask of information extraction, NER seeks to locate and classify named entities in text into predefined categories such as the name of a person, location, organization, contact detail, expressions of time, quantity, monetary value, percentage, etc.
3. Deep Leaning /Machine Learning in Chatbots
Machine learning, which refers to the ability of a system (in this case, the chatbot) to learn from the inputs it experiences, is what allows the chatbot to continue improving over time.
4. Augmentation capacities
AI and chatbots can be used to monitor and draw insights from every conversation and learn from them how to perform better in the next one.
5. Personality AI in Chatbots
As this “intention-based” functioning becomes more sophisticated, it allows programmers to create chatbots that have a different kind of personality or even a sense of humour.
6. Conversational AI in Chatbots
These handy assistants many of us now rely on for daily tasks are a good way to illustrate how conversational AI is playing an increasingly important role when it comes to chatbots.
7. RPA/ Problem Solving in Chatbots
a chatbot can now sense when a customer is becoming unhappy and can prompt a human operator to take over the chat or call.
Answer:-c) All the options
