Uncover the Meaning Behind Social Media Data

Automate your Social Listening workflow with Semantics Analysis powered by Machine Learning

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Traditional Social Listening requires simple to complex boolean searches to find relevant data. Sonar automates the process of retrieving conversations on social platforms.

Sonar uses Natural Language Processing (NLP) to determine the sentiment in text, classifying it as positive, negative, or neutral. Essentially interpreting the emotion and attitudes behind text data.

Sonar identifies whether text data is relevant to your query, by analyzing the language used, the context and the relationships between words and phrases.

Sonar is a Semantic Analysis technology that uses Machine Learning to automate Social Listening, Sentiment Analysis, and Topic Modelling for accuracy and reliability.

Semantic Analysis
‍Sonar identifies whether text data is relevant to your query, by analyzing the language used, the context and the relationships between words and phrases.

Social Listening
‍Traditional Social Listening requires simple to complex boolean searches to find relevant data. Sonar automates the process of retrieving conversations on social platforms.

Sentiment Analysis
‍‍Sonar uses Natural Language Processing (NLP) to determine the sentiment in text, classifying it as positive, negative, or neutral. Essentially interpreting the emotion and attitudes behind text data.

Filter thousands of posts for relevance to your query in seconds

Keep the guesswork out of keyword searches

Never run a boolean search again. Sonar trains a model to understand the type of content that you’re searching for, with greater accuracy than generic tools.

Capture relevant data, with more accuracy and reliability

Make sense of what people are saying. Sonar understands the context and relationships between words and phrases.

Identify key themes and topics

Find out how people feel towards your brand vs your competitors. Positively? Negatively? What are popular topics that surface on social media?

How it Works

01

Choose your data sources

Choose individual to search from all data sources available on Sonar. At this time we have Twitter and Reddit available.

02

Train Sonar to understand your query

Sonar trains a model using test data to understand what you are searching for and how people speak about your Industry, brand and/or product.

03

Analyze only the data relevant to your query

Get accurate results, instantly. Forget having to do a manual clean up of your keyword search results.

04

Sentiment analysis determines the emotion behind the data

How does your audience feel about your query? Sonar’s Sentiment Analysis performance has proven to provide more accurate than generic AI tools (ie: Amazon Comprehend, ChatGPT-3)

05

Relevant data is tagged by topic

Sonar can tag data by topic, giving you and understanding of the volume and sentiment of conversation by topic.