Real-Time Sentiment Analysis To ensure greater customer satisfaction, you must first understand how your customers feel about your company. And it’s all in the details. HP Autonomy delivers next-generation sentiment analysis—granular, specific, and accurate—performed on all types of content, including social media. With HP IDOL, you can determine the degree to which a sentiment is positive, negative, or neutral for the entire content set or a segment of the content. In addition, administrators can also apply multiple tagging functions and specific threshold cut-offs to determine the sensitivity of sentiment analysis. IDOL uses both linguistic analysis and a statistical, pattern-based approach to derive sentiment. Understand sentiment at a granular level: IDOL can detect sentiment at a sub-sentence level so that if a sentence consists of mixed feelings (e.g., Loved the service but didn’t care for the food), you can extract each concept and its associated sentiment.
Wakoopa - Tracking & Understanding