Welcome! Anyone interested in learning how to build their own chatbots using natural language processing (NLP) methods should take this course. The fundamentals of NLP and how chatbot creation uses it will be covered.
You will acquire practical experience during the course creating your own chatbot using well-known NLP libraries and frameworks like NLTK. You’ll discover how to use intents, entities, and action to train your model.
Additionally, you will discover the various varieties of chatbots, including rule-based, retrieval-based, and generative ones. You will also discover how chatbots are evaluated.
A chatbot is a computer program designed to simulate conversation with human users, especially over the Internet. They can be integrated into various platforms such as websites, mobile apps, messaging apps, and more. They are commonly used for customer service, providing information, or automating repetitive tasks.
Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans in natural language. It involves using techniques from computer science, artificial intelligence, and linguistics to process, analyze, and generate human language. NLP tasks include speech recognition, natural language understanding, sentiment analysis, text summarization, machine translation, and more. NLP techniques are used in many applications such as chatbots, virtual assistants, and language translation software.
These are the contents of this course
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Fundamentals of Chatbots
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Types of chatbots – Rule based, AI based
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Fundamentals of NLP
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NLP Techniques – Stemming, Lemmatization, Bag of Words, TF-IDF, Cosine Similarity
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Rule based chatbots – Implementation
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NLP Wordnet – Implementation
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NLP Incorporated chatbots – Implementation
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Dynamic Web Surfing Chatbots – Implementation
Projects:
1. Building a rule based chatbot
2. Building an NLP based chatbot
3. Building a dynamic web surfing chatbot
