Sentiment Analysis

Feature

GermainUX can perform real-time sentiment analysis on any data source.

Below are details about the AI models used internally by GermainUX for sentiment analysis (all from Hugging Face):

• 4 Sentiments with Flaubert - Hugging Face

• nlptown/bert-base-multilingual-uncased-sentiment - Hugging Face

• cmarkea/distilcamembert-base-sentiment - Hugging Face

• lxyuan/distilbert-base-multilingual-cased-sentiments-student - Hugging Face

• cardiffnlp/twitter-xlm-roberta-base-sentiment - Hugging Face

Note: Hugging Face is just one of many models that can be integrated with GermainUX. If you need help integrating your own model, please contact us.

Use Cases

User Feedback/Survey Real-Time Prioritization

GermainUX analyzes customer feedback in real time—whether submitted via GermainUX’s Feedback Popup or other channels. Based on sentiment analysis, alert severity and SLA levels are automatically adjusted, enabling organizations to prioritize critical issues over less urgent ones.

Customer Interest Ranking

Your team likely engages with customers through chat popups, WhatsApp, or other platforms. But how can you tell if those conversations were effective? Did your sales or service rep—or AI bot—provide a satisfactory response? Which customers showed the most interest? GermainUX answers these questions in real time.

Service: Analytics

Feature Availability: 2024.3 or later