IDOL contains a library of entity grammars that identify and extract sensitive, high-value information from structured, semi-structured, and unstructured data sources using high performance natural language processing to meet common use cases such as personally identifiable Information (PII), Protected Health Information (PHI), Payment Card Industry (PCI) entities.
Understanding how your organization is perceived by the public is critical, but manually tracking every article, video, or social media post is not possible. With AI sentiment analysis, IDOL helps your organization understand how you are being presented to your customers, identify trends, pinpoint regional sentiments, and quickly react to negative information.
Utilize AI and machine learning natural language processing to extract meaning and perform tasks such as summarization, named entity recognition, or sentiment analysis. IDOL combines sophisticated probabilistic modeling with NLP algorithms to extract concepts and insights from written or spoken language in a fully automated and highly accurate manner.
IDOL utilizes AI to identify patterns that naturally occur in human language, whether written or spoken, based on the frequency of terms that correspond to specific concepts. This approach makes IDOL completely language independent. In addition, IDOL implements several NLP techniques, such as stemming, to fine tune the analysis in common languages and provides speech-to-text.
