Clients Intent Detection #653
Description
Define You:
- Contributor
Is your feature request related to a problem? Please describe:
The problem is identifying and classifying clients’ intents in a banking environment based on the messages or queries they provide.
Currently, the system lacks an automated way to detect user intents, which makes customer interactions slower and less efficient.
Describe the solution you'd like... :
I would like to develop and train an NLP-based intent detection model that can classify client queries (e.g., “I lost my card,” “What’s my balance?”) into predefined intent categories such as card_issue, account_balance, transaction_problem, etc.
The model will use text preprocessing, TF-IDF vectorization, and a neural network classifier (e.g., dense layers with dropout and batch normalization) to achieve high accuracy in intent prediction.
Additional context:
This feature aims to improve customer service automation and efficiency in a banking environment by understanding user queries automatically and routing them to the correct service or response.
Describe alternatives you've considered:
1-Using traditional ML algorithms such as Logistic Regression or SVM for baseline comparison.