Last updated 04-25-2024
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Sonar | Social Data Insights
Sonar is a cutting-edge Semantic Analysis technology that employs Machine Learning to facilitate and automate Social Listening and Sentiment Analysis workflows. With Sonar, you can streamline the laborious task of sifting through social media conversations, leaving behind traditional and complex boolean searches. The platform taps into advanced Natural Language Processing (NLP) to detect sentiment, categorizing it as positive, negative, or neutral, and goes even further by capturing the underlying emotions and attitudes expressed in text data.
Sonar stands out by analyzing the relevance of text data to your queries, considering the specific language used, the overall context, and exploring the intricate relationships between words and phrases. This leads to more accurate and reliable data capture, saving you time and enhancing your social media insight activities. Additionally, Sonar's capabilities include advanced Topic Modelling to identify key themes and subjects that are trending or relevant within social media discussions related to your brand or competitors.
Automated Social Listening: Harnesses machine learning to automate the retrieval of relevant data from social platforms., -
Sentiment Analysis: Utilizes advanced NLP to classify text sentiment as positive, negative, or neutral., -
Semantic Analysis: Identifies relevancy by analyzing language, context, and word relationships., -
Topic Modelling: Clarifies popular themes and topics across social media conversations., -
Data Source Integration: At the current stage, integrates with platforms like Twitter and Reddit for data collection.
1) What does Sonar use to perform Sentiment Analysis?
Sonar uses advanced NLP to identify sentiment in text, categorizing it into positive, negative, or neutral classifications.
2) How does Sonar streamline the Social Listening process?
Sonar can rapidly filter thousands of posts to find the content most relevant to your query, eliminating the need for boolean searches.
3) How does Sonar determine the relevance of text data?
Sonar's semantic analysis identifies the relevance of text by analyzing language use, context, and the interrelation between words and phrases.
4) Which social media platforms does Sonar integrate with for data sourcing?
Currently, Sonar offers integration with data sources such as Twitter and Reddit.
5) How can I schedule a demo with Sonar?
To schedule a demo with Sonar, you can submit your query and email via their website form, and an expert will reach out within the next 2 business days.