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Sonar

Sonar

Sonar is a platform offering social data insights that utilizes machine learning technology to automate the process of social listening, and it provides analysis based on meaning.

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What is Sonar?

Sonar is a platform that provides insights from social data and automates social listening through the use of technology. It uses machine learning to analyze the meaning of social media data. The platform helps to find the meaning behind the data by figuring out the sentiment and classifying the text as good, bad, or neutral. It also looks at how words and phrases are connected to each other.

How to use Sonar?

To utilize Sonar effectively, follow these straightforward steps: 1. Select your preferred data sources from the given choices, including social media platforms like Twitter and online forums such as Reddit. 2. Educate Sonar to comprehend your query by supplying it with relevant test data samples. 3. Focus on analyzing only the data that is directly relevant to your query to obtain precise results instantly. 4. Leverage sentiment analysis to grasp the emotional tone behind the data. 5. Sonar also has the capability to categorize data by topic, offering valuable insights into conversation volume and sentiment trends by topic.

Features

  • Monitoring social media conversations automatically

Use Cases

  • Brand monitoring
  • Competitor Analysis
  • Recognizing how customers truly feel
  • Determining Trending Subjects on Social Media Platforms

Frequently Asked Questions

Sonar is a social data insights platform that uses automation to simplify the process of social listening and offers semantic analysis driven by Artificial Intelligence. It assists in revealing the meaning behind social media data by identifying sentiment, categorizing text as positive, negative, or neutral, and examining the connections between words and phrases.

To work with Sonar, follow these steps: 1. Select the data sources you want to use from the available choices, like Twitter and Reddit. 2. Teach Sonar to recognize your query by giving it related test data to learn from. 3. Focus on the data that matters to your query and get precise results right away. 4. Use emotion analysis to understand the feelings behind the data. 5. Sonar can also label data by subject, giving you a clearer view of conversation volume and sentiment by subject.

Sonar is now supporting Twitter and Reddit as its data sources.

Sonar's emotion analysis has shown to be more precise than common AI tools, such as Amazon Comprehend and ChatGPT-3.

Sonar is capable of categorizing data based on specific subjects, offering valuable information on the amount of conversation and emotional tone related to each subject.

Key features of Sonar include using machines to automatically listen to social media, analyzing meanings with AI, examining how people feel, modeling main topics, filtering out unimportant data, and studying connections between words and phrases.

Some use cases for Sonar involve tracking a brand's reputation, analyzing competitors, determining customer attitudes, and finding trending subjects on social media.
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