A comparability of two cutting-edge dynamic matter fashions fixing shopper complaints classification train
16 hours in the past
Buyer critiques about services present precious details about buyer satisfaction. They supply perception into what must be improved throughout the entire product improvement. Dynamic matter fashions in enterprise intelligence can establish key product qualities and different satisfaction elements, cluster them into classes, and consider how enterprise choices materialized in buyer satisfaction over time. That is extremely precious info not just for product managers.
This text will examine two of the most recent matter fashions to categorise buyer complaints information. BERTopic by Maarten Grootendorst (2022) and the latest FASTopic by Xiaobao Wu et al. (2024) offered finally yr’s NeurIPS, are the present main fashions for matter analytics of buyer information. For these fashions, we’ll discover in Python code:
- methods to successfully preprocess information
- methods to prepare a Bigram matter mannequin for buyer grievance evaluation
- methods to mannequin matter exercise over time.
A comparability of two cutting-edge dynamic matter fashions fixing shopper complaints classification train
16 hours in the past
Buyer critiques about services present precious details about buyer satisfaction. They supply perception into what must be improved throughout the entire product improvement. Dynamic matter fashions in enterprise intelligence can establish key product qualities and different satisfaction elements, cluster them into classes, and consider how enterprise choices materialized in buyer satisfaction over time. That is extremely precious info not just for product managers.
This text will examine two of the most recent matter fashions to categorise buyer complaints information. BERTopic by Maarten Grootendorst (2022) and the latest FASTopic by Xiaobao Wu et al. (2024) offered finally yr’s NeurIPS, are the present main fashions for matter analytics of buyer information. For these fashions, we’ll discover in Python code:
- methods to successfully preprocess information
- methods to prepare a Bigram matter mannequin for buyer grievance evaluation
- methods to mannequin matter exercise over time.
