Sonar

Sonar is a social data insights platform that automates the process of social listening and provides semantic analysis powered by machine learning. It helps uncover the meaning behind social media data by determining sentiment, classifying text as positive, negative, or neutral, and analyzing the relationships between words and phrases.

To use Sonar, follow these steps: 1. Choose your data sources from the available options, such as Twitter and Reddit. 2. Train Sonar to understand your query by providing relevant test data. 3. Analyze only the data relevant to your query and get accurate results instantly. 4. Use sentiment analysis to understand the emotion behind the data. 5. Sonar can also tag data by topic, providing insights into conversation volume and sentiment by topic.

Sonar currently supports Twitter and Reddit as data sources.

Sonar's sentiment analysis has proven to be more accurate than generic AI tools, such as Amazon Comprehend and ChatGPT-3.

Yes, Sonar can tag data by topic, providing insights into conversation volume and sentiment by topic.

The core features of Sonar include automated social listening, semantics analysis powered by machine learning, sentiment analysis, topic modeling, relevant data filtering, and context and relationship analysis between words and phrases.

Some use cases for Sonar include brand monitoring, competitor analysis, understanding customer sentiment, and identifying popular topics on social media.