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.
Semantic analysis tool using machine learning for social listening and sentiment analysis.
- Filter thousands of posts for relevance to your query in seconds.
- Identify key themes and topics in social media conversations.
- Find out how people feel towards your brand vs your competitors.
- Understand the volume and sentiment of conversation by topic.
- 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.
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