Context specific recommendation generator based on user data

A server comprising an application to provide a context-specific analysis of a number of statements indicating user sentiment about a product or service of a producer, the server comprising:

• a processor;
• a memory;
• a network interface;
• and
• the application, the application comprising:
• a sentiment analyzer to assign a sentiment value to each of the number of statements indicating user sentiment about a product or service of a producer;
• a context-specific customization tool to determine a context in which the producer provides the product or service, the context-specific customization tool to adjust or provide the assigned sentiment value for each statement indicating user sentiment based on the determined context;
• and
• an accumulator to accumulate the adjusted sentiment values from the number of statements to produce an overall user sentiment determination that interprets an import of the number of statements corrected for the determined context.

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor, to cause the processor to implement:

• a pre-processor implementing a Natural Language Processing (NLP) tool to disambiguate a number of statements by replacing ambiguous terms with specific terms, the number of statements indicating user sentiment about a product or service of a producer;
• a document dissector to separate statements that have been input together into individual statements;
• a sentiment analyzer to assign a sentiment value to each of the number of statements;
• a context-specific customization tool to determine a context in which the producer provides the product or service, the context-specific customization tool to adjust the assigned sentiment value for each statement indicating user sentiment based on the determined context;
• an accumulator to accumulate the adjusted sentiment values from the number of statements to produce an overall user sentiment determination that interprets an import of the number of statements corrected for the determined context;
• and
• a recommendation generator to apply any of a series of rules to the overall user sentiment determination to generate a recommendation for responding to the overall user sentiment determination.