Sentiment Analysis of Mentions refers to the process of analyzing the brands’ mentions across different digital platforms to understand if the sentiments are positive, negative, or neutral. It helps the enterprise evaluate public view and improve reputation management.
Purpose of mentions sentiment analysis
- Addresses customer feelings in social media, news, and reviews.
- Crises management plan: Helps in managing crises by identifying negative mentions early.
- Get audience insights: Enhances brand strategy through audience insights.
Key Methods used are mentioned, sentiment analysis
- Using AI and NLP to detect sentiments.
- Tools that listen to social (brand) signals.
- Keyword & context analysis to assess sentiment accuracy.
With the help of Effective Mentions Sentiment Analysis, the brand can take data-driven decisions.
