Abstract: Systems, methods, and apparatus are provided for intelligent, integrated, and interactive remote reporting. A remote natural language request for a report may be received from a user at an edge device. A first machine learning model may generate a list of existing reports based on past usage by the user. If no existing report satisfies the request, a second, enterprise-level machine learning model may map the request to relevant data sets and rank the mapped data sets along with additional related data sets based on enterprise-wide usage. An integrated reporting platform may receive selected data sets and report parameters as a JSON request, convert the request to compatible executable instructions, and generate the report. The integrated reporting platform may be a wrapper layer encompassing multiple proprietary reporting engines. Feedback from the integrated reporting platform may be applied to update the machine learning models.

Abstract: Systems, methods, and apparatus are provided for intelligent, integrated, and interactive remote reporting. A remote natural language request for a report may be received from a user at an edge device. A first machine learning model may generate a list of existing reports based on past usage by the user. If no existing report satisfies the request, a second, enterprise-level machine learning model may map the request to relevant data sets and rank the mapped data sets along with additional related data sets based on enterprise-wide usage. An integrated reporting platform may receive selected data sets and report parameters as a JSON request, convert the request to compatible executable instructions, and generate the report. The integrated reporting platform may be a wrapper layer encompassing multiple proprietary reporting engines. Feedback from the integrated reporting platform may be applied to update the machine learning models.

Abstract: Aspects of the disclosure relate to using a natural language processing system to analyze mobile application feedback. A computing platform having at least one processor, a memory, and a communication interface may receive mobile application feedback information comprising text feedback associated with feedback of a mobile application. The computing platform may identify one or more nouns associated with the text feedback. The computing platform may identify one or more text feedback topics. The computing platform may generate one or more commands directing a sentiment analysis server to determine one or more sentiments for the one or more text feedback topics. The computing platform may transmit the one or more commands directing the sentiment analysis server to determine the one or more sentiments. The computing platform may receive the one or more sentiments. The computing platform may transmit the feedback topics and the one or more sentiments.

Abstract: Aspects of the disclosure relate to using a natural language processing system to analyze mobile application feedback. A computing platform having at least one processor, a memory, and a communication interface may receive mobile application feedback information comprising text feedback associated with feedback of a mobile application. The computing platform may identify one or more nouns associated with the text feedback. The computing platform may identify one or more text feedback topics. The computing platform may generate one or more commands directing a sentiment analysis server to determine one or more sentiments for the one or more text feedback topics. The computing platform may transmit the one or more commands directing the sentiment analysis server to determine the one or more sentiments. The computing platform may receive the one or more sentiments. The computing platform may transmit the feedback topics and the one or more sentiments.