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Introduction:
Semantic analysis tool using machine learning for social listening and sentiment analysis.
Added on:
Jun 04 2023
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Sonar Product Information

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.

Sonar's Core Features

Automated Social Listening

Sentiment Analysis

Topic Modelling

Semantic Analysis

Natural Language Processing (NLP)

Sonar's Use Cases

#1

Filter thousands of posts for relevance to your query in seconds.

#2

Identify key themes and topics in social media conversations.

#3

Find out how people feel towards your brand vs your competitors.

#4

Understand the volume and sentiment of conversation by topic.

FAQ from Sonar

How does Sonar automate Social Listening?

What data sources are available on Sonar?

How does Sonar determine sentiment?

How accurate is Sonar's Sentiment Analysis?

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Sonar Website Traffic Analysis

Visit Over Time

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Feb 2023 - May 2026 All Traffic

Social Listening

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