FAQ from Sonar
What is Sonar?
Sonar is a sophisticated social data insights platform that automates social listening and utilizes machine learning for semantic analysis. It reveals the sentiment behind social media data, categorizes text, and analyzes word relationships.
How to Use Sonar?
To use Sonar, follow these steps: 1. Choose data sources like Twitter and Reddit. 2. Train Sonar with relevant test data. 3. Analyze relevant data for instant, accurate results. 4. Use sentiment analysis to understand data emotion. 5. Tag data by topic to analyze conversation volume and sentiment by topic.
What Data Sources Does Sonar Support?
Sonar currently supports Twitter and Reddit.
How Accurate is Sonar's Sentiment Analysis?
Sonar's sentiment analysis surpasses the accuracy of generic AI tools such as Amazon Comprehend and ChatGPT-3.
Can Sonar Filter Data by Topic?
Yes, Sonar can tag and analyze data by topic, providing insights into conversation trends and sentiments.
What Are the Core Features of Sonar?
Key features of Sonar include automated social listening, machine learning-powered semantic analysis, sentiment analysis, topic modeling, relevant data filtering, and contextual word relationship analysis.
What Are Some Use Cases for Sonar?
Common use cases for Sonar include brand monitoring, competitor analysis, customer sentiment understanding, and identifying popular social media topics.