Sonar Product Information What is 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. How to use Sonar? 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’s Core Features Automated social listening Semantics analysis powered by machine learning Sentiment analysis Topic modeling Relevant data filtering Context and relationship analysis between words and phrases Sonar’s Use Cases #1 Brand monitoring#2 Competitor analysis#3 Understanding customer sentiment#4 Identifying popular topics on social media FAQ from Sonar What data sources does Sonar support? How accurate is Sonar’s sentiment analysis? Can Sonar filter data by topic? What are the core features of Sonar? What are some use cases for Sonar? Sonar Reddit Here is the Sonar Reddit: https://www.reddit.com/r/semanticanalysis/ Sonar Support Email & Customer service contact & Refund contact etc. More Contact, visit the contact us page(https://www.sonarinsights.ai/#contact-bottom) Sonar Company Sonar Company name: Sonar Insights . More about Sonar, Please visit the about us page(https://www.sonarinsights.ai/#page-top). Sonar Twitter Sonar Twitter Link: https://twitter.com/sonarinsightsSonar Reddit Sonar Reddit Link: https://www.reddit.com/r/semanticanalysis/
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.