Sonar: An Overview

Sonar is an advanced social data insights platform that leverages automation for social listening and employs machine learning for semantic analysis. It offers users the ability to delve into the intricacies of social media data, identifying sentiment and classifying text as positive, negative, or neutral, while also analyzing the relationships among words and phrases. This powerful tool is particularly useful for various applications including brand monitoring and customer sentiment analysis.

Sonar: Main Features

1. Automated social listening
2. Semantic analysis powered by machine learning
3. Sentiment analysis
4. Topic modeling
5. Relevant data filtering
6. Context and relationship analysis between words and phrases

Sonar: User Guide

1. Select your desired data sources, such as Twitter and Reddit.
2. Train Sonar by providing relevant test data to tailor its understanding of your query.
3. Filter through the data related to your query for precise results.
4. Utilize the sentiment analysis feature to gauge the emotions behind the data.
5. Leverage topic tagging to gain insights into conversation volume and sentiment categorized by topic.

Sonar: User Reviews

• "Sonar has transformed the way we monitor our brand presence online. The insights are detailed and actionable!" - Marketing Manager
• "The sentiment analysis feature is incredibly accurate. It has helped us understand our customers better." - Social Media Analyst
• "Using Sonar for competitor analysis has given us a significant edge in our strategy." - Business Development Executive