Sonar
Semantic analysis tool using machine learning for social listening and sentiment analysis.
Semantic analysis tool using machine learning for social listening and sentiment analysis.
Social Media
Sonar Introduction
What is Sonar?
Sonar is a Semantic Analysis technology that uses Machine Learning to automate Social Listening, Sentiment Analysis, and Topic Modelling for accuracy and reliability. It automates the process of retrieving conversations on social platforms and uses Natural Language Processing (NLP) to determine the sentiment in text, classifying it as positive, negative, or neutral. Sonar identifies whether text data is relevant to your query by analyzing the language used, the context, and the relationships between words and phrases.
How to use Sonar?
1. Choose your data sources (Twitter and Reddit currently available). 2. Train Sonar to understand your query using test data. 3. Analyze only the data relevant to your query. 4. Sentiment analysis determines the emotion behind the data. 5. Relevant data is tagged by topic.
Why Choose Sonar?
You should choose this if you want an AI that listens and understands your needs deeply. It’s great for getting insights and support that feel personal and spot-on.
Sonar Features
AI Text Classifier
- ✓Automated Social Listening
- ✓Sentiment Analysis
- ✓Topic Modelling
- ✓Semantic Analysis
- ✓Natural Language Processing (NLP)
FAQ?
Pricing
Pricing information not available