Abstract: The present disclosure relates to the field of a system that maps employees' sentiments, and envisages a system for mapping employees' sentiments comprising a database, an input unit, a parser, a filter unit, a lexical analyse), an identifier, a mapping unit, an aggregator, a sentiments analyser, and a computation unit. The employee inputs are received through the input unit. The parser parses the inputs and generates tokens that are filtered based on the filter unit. Keywords are extracted from pre-determined list of keywords based on filtered words which are mapped with pre-determined group of themes and quantitative score based on the weightage score is computed by pre-determined weightage scores. The sentiments analyser analyses employee sentiments, based on quantitative score and computation unit computes a relationship between employee sentiments, employee feedback and employee performance.

Abstract: The present disclosure relates to products and services locating systems, and discloses an interactive system for locating products and services with voice/chat enabled assistance. It helps customers in identifying location and availability of products based on current inventory of stocks in various stores, and also helps customers in identifying location of different services and offers provided by different services providers. Further the system of the present disclosure provides navigation assistance based on user requirement. The system comprises a memory, a processor, a database, a user input module, a location identifier, a natural language processing (NLP) engine, and a server.

Abstract: The present disclosure relates to the field of a system that maps employees' sentiments, and envisages a system for mapping employees' sentiments comprising a database, an input unit, a parser, a filter unit, a lexical analyse), an identifier, a mapping unit, an aggregator, a sentiments analyser, and a computation unit. The employee inputs are received through the input unit. The parser parses the inputs and generates tokens that are filtered based on the filter unit. Keywords are extracted from pre-determined list of keywords based on filtered words which are mapped with pre-determined group of themes and quantitative score based on the weightage score is computed by pre-determined weightage scores. The sentiments analyser analyses employee sentiments, based on quantitative score and computation unit computes a relationship between employee sentiments, employee feedback and employee performance.

Abstract: The present disclosure relates to products and services locating systems, and discloses an interactive system for locating products and services with voice/chat enabled assistance. It helps customers in identifying location and availability of products based on current inventory of stocks in various stores, and also helps customers in identifying location of different services and offers provided by different services providers. Further the system of the present disclosure provides navigation assistance based on user requirement. The system comprises a memory, a processor, a database, a user input module, a location identifier, a natural language processing (NLP) engine, and a server.