YifanZhou95/diversity-promoting-dialogue-system

Seq2Seq based chatbot focusing on response diversity

26
/ 100
Experimental

This project helps build a chatbot that generates more varied and less repetitive responses. You provide it with a dataset of message-response pairs, like social media conversations, and it produces a trained chatbot model. This is useful for anyone looking to create engaging conversational agents, such as customer service specialists, marketers managing social media, or content creators developing interactive experiences.

No commits in the last 6 months.

Use this if you need to create a chatbot that provides diverse and natural-sounding replies rather than generic or predictable ones.

Not ideal if you need a highly specialized chatbot for complex tasks requiring deep domain knowledge rather than general conversation.

chatbot-development conversational-ai customer-engagement social-media-management dialogue-systems
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 13 / 25

How are scores calculated?

Stars

9

Forks

2

Language

Jupyter Notebook

License

Last pushed

Sep 20, 2018

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/YifanZhou95/diversity-promoting-dialogue-system"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.