18 Sequence-to-sequence models for chatbots
This chapter covers
- Examining sequence-to-sequence architecture
- Performing vector embedding of words
- Implementing a chatbot by using real-world data
Talking to customer service over the phone is a burden for both the customer and the company. Service providers pay a good chunk of money to hire customer service representatives, but what if it’s possible to automate most of this effort? Can we develop software to interface with customers through natural language?
The idea isn’t as far-fetched as you might think. Chatbots are getting a lot of hype because of unprecedented developments in natural language processing using deep-learning techniques. Perhaps, given enough training data, a chatbot could ...
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