This guide will walk you through the process of training a chatbot using advanced settings, including content input, URL referencing, and file upload methods. These advanced techniques can help create a more sophisticated and context-aware chatbot, leading to a better user experience.
Once your chat bot is created, you can access Advanced Settings tab where you can set training for your chatbot:
1. Content-based Training
Content-based training involves using text data to train your chatbot, which can be sourced from various platforms like websites, documents, or conversation logs.
Steps:
- Collect relevant text data that you want your chatbot to learn from. This can include FAQs, knowledge base articles, or conversation logs.
- Clean and preprocess the data by removing irrelevant information, fixing grammar or spelling errors, and converting it into a structured format.
- Use a machine learning model or an NLP framework to train your chatbot using the preprocessed data.
- Test your chatbot's performance and fine-tune the model to improve accuracy and context-awareness.
2. URL-based Training
URL-based training involves using web pages or external resources to train your chatbot. This method allows your chatbot to access and learn from a wide variety of online sources.
Steps:
- Identify relevant web pages or online resources that contain information related to your chatbot's domain.
- Use a web scraping tool or library to extract the text content from these web pages.
- Clean and preprocess the extracted data, as described in the Content-based Training section.
- Train your chatbot using the preprocessed data.
- Test and fine-tune the model for improved performance.