OMNICHANNEL DATA PROCESSING AND ANALYSIS

OMNICHANNEL DATA PROCESSING AND ANALYSIS

Natural Language Processing (NLP) techniques are used to facilitate inferring actionable insights from interactions. Customer data from various communication channels can be used to determine, for example, voice-related aspects from sentiment analysis, intent analysis, Semantic Conscious Word Extrac...

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Hauptverfasser: Singavarapu, Sai Prasanth, S, Karthick, Srinivasan Khannan, Sanjeev Kumar, Kumaran, V Vikash, Mohamed Ibrahim, Azarudeen, Bharathi A, Hari, Prakash S, Ram, Thomas, Rhea, Satish, Priyanka
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Natural Language Processing (NLP) techniques are used to facilitate inferring actionable insights from interactions. Customer data from various communication channels can be used to determine, for example, voice-related aspects from sentiment analysis, intent analysis, Semantic Conscious Word Extraction (SCWE), emotion analysis, and contextual summarization. These analysis results can also be used, along with customer profile information, for deriving deep customer insights. The deep customer insight driven analysis can include multivariate customer fragmentation, setback accountability analysis, potential contender analysis, and propulsive business planning.