graph LR
NLP_Processing["NLP Processing"]
Jieba_Tokenizer["Jieba Tokenizer"]
Sentiment_Analyzer["Sentiment Analyzer"]
Core_Orchestrator["Core Orchestrator"]
Core_Orchestrator -- "sends input to" --> NLP_Processing
NLP_Processing -- "returns insights to" --> Core_Orchestrator
Jieba_Tokenizer -- "provides tokens to" --> Sentiment_Analyzer
NLP_Processing -- "orchestrates" --> Jieba_Tokenizer
NLP_Processing -- "orchestrates" --> Sentiment_Analyzer
click NLP_Processing href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/MaiBot/NLP_Processing.md" "Details"
click Core_Orchestrator href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/MaiBot/Core_Orchestrator.md" "Details"
Abstract Components Overview of a conversational agent system
NLP Processing [Expand]
The overarching subsystem that performs natural language processing tasks on user input, including text parsing, tokenization, and sentiment analysis. It enhances the bot's understanding and assists in formatting responses.
Related Classes/Methods:
A specialized module within NLP Processing responsible for segmenting raw text into individual words or tokens, particularly optimized for Chinese language processing using the Jieba library. This is the foundational step for further linguistic analysis.
Related Classes/Methods:
A module within NLP Processing dedicated to determining the emotional tone or sentiment (e.g., positive, negative, neutral) of the processed user input. This insight is crucial for generating contextually appropriate bot responses.
Related Classes/Methods:
Core Orchestrator [Expand]
The central component responsible for managing the overall flow of the conversational agent. It acts as the primary consumer and producer of information for the NLP Processing subsystem, sending raw user input for analysis and receiving processed insights.
Related Classes/Methods: None