Is the emotional expression of humanize ai text free rich?

Artificial intelligence has made some progress in emotional expression, but there are still essential differences from human emotional expression. The following is a specific analysis:
Limitations of emotional expression
The existing AI emotional expression mainly relies on massive data to learn emotional patterns (such as joy, anger, and other basic emotions), and simulates human language styles through natural language processing technology. For example, ChatGPT learns dialogue examples through autoregressive generation, which is close to real-life works in logic and narrative, but lacks the biological mechanism for emotional generation and cannot generate true subjective emotions.  ‌
Technological breakthroughs and progress
The Tsinghua University team has achieved more precise control of emotional expression through algorithm optimization, such as adjusting sentence structure and incorporating cultural elements to enhance the "humanization" of text. This type of technology can enhance the emotional transmission effect of text, but fundamentally still belongs to the mechanical application of language rules.  ‌
Performance in practical applications
AI generated text is often considered to lack "genuine emotions", especially in scenarios that require delicate emotional communication (such as literary creation, customer service), where the mechanical sense is more pronounced. Some tools already have basic emotion recognition capabilities, but complex emotions (such as multidimensional psychological activities or culturally related emotions) still cannot be effectively simulated.  ‌
Overall, AI's emotional expression can present a certain richness with the assistance of technology, but due to the nature of algorithms, its emotional expression still lacks the complexity and spontaneity of human emotions.  ‌