What is Sonar?

Sonar is an AI tool designed to uncover the meaning behind social media data by automating the social listening workflow through semantics analysis powered by machine learning. Unlike traditional social listening methods that require complex boolean searches, Sonar streamlines the process of retrieving conversations on social platforms.

By utilizing natural language processing (NLP), Sonar can determine the sentiment of text, classifying it as positive, negative, or neutral, thereby interpreting the emotions and attitudes behind the data. Through its semantic analysis technology, Sonar harnesses machine learning to automate social listening, sentiment analysis, and topic modeling with enhanced accuracy and reliability.

Its capabilities include identifying relevant text data, analyzing language nuances, and understanding the context and relationships between words and phrases to surface key themes and topics, providing valuable insights into public sentiment towards brands and competitors on social media.

⭐ Key features

Sonar core features and benefits include the following:

✔️ Semantic analysis powered by machine learning.
✔️ Natural Language Processing (NLP) for sentiment analysis.
✔️ Automated social listening through semantic analysis.
✔️ Topic modeling with enhanced accuracy and reliability.
✔️ Identifying key themes and topics in social media data.

⚙️ Use cases & applications

✔️ Analyze brand perception on social media by using Sonar to track sentiment analysis, identify key themes, and monitor public sentiment towards the brand and its competitors, allowing for strategic decision-making based on real-time insights.
✔️ Automate social listening for market research purposes with Sonar, enabling businesses to gather and analyze data from social media platforms efficiently, understand consumer preferences, and stay informed about emerging trends in the market.
✔️ Enhance customer service by utilizing Sonar to monitor social media conversations, analyze sentiment, and address customer concerns promptly, leading to improved customer satisfaction and brand reputation management.