Sonar
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About
Sonar is a social data insights tool that aims to simplify and automate the process of social listening through advanced Semantics Analysis powered by Machine Learning. It uses Natural Language Processing (NLP) to accurately determine sentiment in text data, classifying emotions as positive, negative, or neutral. Unlike traditional methods that rely on boolean searches, Sonar filters thousands of social media posts for relevance quickly and efficiently, ensuring that users capture data with higher accuracy and reliability. Users can choose their data sources, train Sonar to understand their specific queries, and analyze data tied to those queries almost instantaneously. Additionally, it categorizes relevant data by topic to help users understand public sentiment towards their brand compared to competitors. Sonar is designed to make sense of social conversations, identify key themes, and improve the effectiveness of social listening strategies.
Platform
Task
Features
• sentiment analysis
• topic modeling
• natural language processing (nlp)
• automated social listening
• topic tagging
• contextual language understanding
• emotion classification
• rapid data analysis
• data relevance filtration
• data source selection (twitter, reddit)
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