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Sentiment Analytics

Deep Sentiment Analysis to Spot Hate, Toxicity, and Severe Reputation Incidents

Spot high-risk content effectively with deep sentiment analysis and context classification features for hate and volatility.

Deep Sentiment Analysis is a process used by DigitalStakeout Scout to classify data into different sentiment categories. This process involves identifying the overall sentiment of text, whether it's very negative, negative, neutral, positive or very positive. Additionally, Scout's context classifiers use natural language processing to detect hate speech, offensive language, and other highly volatile or high-reputation risk topics. This process helps organizations understand the sentiment and tone of their data, making it easier to identify potential risks and opportunities.

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