Visit
What is Sonar?
Sonar is a cutting-edge social data insights platform that utilizes machine learning to automate social listening. By harnessing the power of semantic analysis, Sonar uncovers the true essence of social media data. It effortlessly determines sentiment, classifies text into positive, negative, or neutral categories, and delves into the intricate relationships between words and phrases. With Sonar, understanding the underlying meaning behind social media data has never been easier.
Information
- Financing
- $412.00M
- Revenue
- $175.00M
- Language
- English
- Price
- Free
Freework.ai Spotlight
Display Your Achievement: Get Our Custom-Made Badge to Highlight Your Success on Your Website and Attract More Visitors to Your Solution.
Website traffic
- Monthly visits--
- Avg visit duration--
- Bounce rate--
- Unique users--
- Total pages views--
Access Top 5 countries
Oops, no data.
Traffic source
Sonar FQA
- What does Sonar automate?
- What does Sonar use to determine sentiment in text?
- What does Sonar analyze to identify relevant text data?
- What does Sonar train a model to understand?
- What can Sonar tag data by?
Sonar Use Cases
Automate your Social Listening workflow with Semantics Analysis powered by Machine Learning
Sonar uses Natural Language Processing (NLP) to determine the sentiment in text, classifying it as positive, negative, or neutral. Essentially interpreting the emotion and attitudes behind text data.
Sonar identifies whether text data is relevant to your query, by analyzing the language used, the context and the relationships between words and phrases.
Sonar is a Semantic Analysis technology that uses Machine Learning to automate Social Listening, Sentiment Analysis, and Topic Modelling for accuracy and reliability.
Filter thousands of posts for relevance to your query in seconds
Keep the guesswork out of keyword searches
Capture relevant data, with more accuracy and reliability
Identify key themes and topics
Choose your data sources
Train Sonar to understand your query
Follow us on Twitter