Semantic Analysis im CRM versteht die Bedeutung und den Kontext von Kundenäußerungen, going beyond Keyword-Matching. Diese AI-Technologie nutzt Natural Language Understanding und Knowledge Graphs. Concept Extraction identified Key Ideas. Relationship Mapping showed Semantic Connections. Context Understanding disambiguated Meanings. Emotion Detection went beyond Simple Sentiment. Topic Modeling discovered Latent Themes. Intent Recognition understood True Purpose. Sarcasm Detection avoided Misinterpretation. Multi-language Semantics handled Global Communication. Domain-specific Understanding used Industry Knowledge. Continuous Learning improved Understanding. Dies führt zu präziserem Textverständnis und intelligenteren Responses.
