Murmur Lab optimizes sentiment analysis through triple technology:
- Multi-dimensional sentiment quantification: not only distinguishing between positive/negative/neutral, but also identifying 'MAJORITY SENTIMENT' vs. 'MINORITY SENTIMENT' (e.g., 65% user support vs. 35% opposition)
- Contextual understanding: NLP models are used to analyze the complete context of the conversation, avoiding misjudgments caused by abbreviations/irony (e.g., special expressions such as "die-hard fan") in traditional tools.
- Visualization: See Insight feature directly relates to the original post and supports manual verification (e.g., to see if negative comments come from competitors).
Practice Case: A 3C brand found that negative reviews of 'Battery Life' were concentrated in a specific area through this tool, and promptly positioned it as a problem of exaggerated publicity by channel operators.
This answer comes from the articleMurmur Lab: a smart tool for analyzing social media trends in real timeThe
May not be reproduced without permission:AI productivity tools " Optimizing the accuracy and efficiency of social media sentiment analysis
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