Technology and application logic
This feature is available through thesemantic sentiment analysisAchievements: 1. when the user inputs text, AI will analyze the emotional tendency of the keywords (e.g. "want to quit" corresponds to sarcasm, "catch up with homework" corresponds to humor); 2. based on the emotional labels from the template library to filter matches (e.g. the negative emotion priority match "Sad Affleck", inspirational content recommendation "Drake Hotline Bling"); 3. support for the matching of the negative emotions (e.g. "Sad Affleck", "Drake Hotline Bling") "Sad Affleck", and "Drake Hotline Bling" for inspirational content); 3. support forBatch generation of 3-5 optionsUsers can compare different styles. Tests show that descriptions that include specific scenarios (e.g., "Monday morning coffee") are 40% more accurate than abstract expressions.
This answer comes from the articleMemeGen AI: Quickly Generate Personalized Funny Fanfic Pictures with Your Own PhotosThe
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