CONTEXT AWARE CHAT CATEGORIZATION FOR BUSINESS DECISIONS

• Main Authors: Goyal, Ram Dayal, Mahajan, Rohit, Sokolovsky, Oksana, Dey, Subhodeep
• Format: Patent
• Language: English
• Published: 29.12.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

Described herein is a method of context aware chat categorization for business decisions. A business category of the chat presented by the viewer/user on a platform is predicted and groups of chats having similar context and created and arranged in an ordered score indicative of importance. The categorization method includes applying LSTM's in parallel with shared embeddings on said user data, applying an LSTM technique to determine sentence similarity, applying the user's social connectivity in the form of Eigen-centrality of its connectivity on said platform, determining the customised loss function, grouping of chats in categories based on context, context based grouping of chats wherein context is obtained from chat description, and determining attention score based on textual representation of human emotions such as emojis, repetitive characters, and words for each group of chats in a category.