| dc.description.abstract | Chatbot development is popular due to its benefits for e-commerce applications. Especially,
real-estate applications have shown the need of artificial assistant services through its helps
on simple tasks (e.g. Questions and Answers). Chatbot is a product of machine learning which
is implemented by applying the natural language processing methods. However, it is difficult
for the bot to understand completely the conversation and do next actions just by matching
general patterns. Many machine learning appoachs are introduced to solve the problems.
Therefore, in this thesis, natural language processing (NLP) models, which are strongly
recommended for chatbot development, will be experienced and evaluated. This approach
helps developer to understand the bot production processes and have brief knowledge of such
models. However, instead of implementing all the machine learning model in detail by code, a
high-level framework will be used to ease the development process and replace duplicated
implementations. Within this frame work, all the related architecture of general chatbot are
shown. Finally, bot will be integrated into one of social platforms (i.e. Facebook, Slack, etc.)
for free trials. | en_US |
