¿Qué es 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.
¿Cómo usar 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.
Características Principales
- Automated Social Listening
- Sentiment Analysis
- Topic Modelling
- Semantic Analysis
- Natural Language Processing (NLP)
Pros & Contras
Sin Datos
Casos de Uso
- 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.
Grupos de Usuarios
Sin Datos
Precios de Sonar
Vista Previa de Portada
Características de SONAR
- Funcionalidad de IA Para análisis de datosIA Para análisis de datos
- Funcionalidad de IA Redes socialesIA Redes sociales
- Funcionalidad de IA Clasificador de textoIA Clasificador de texto