1. A networked based computing system for retrieving, analyzing, and displaying multiple reviews of mobile application software configured for a user to search for and view analyzed summaries of the reviews, the system comprising: a) a system server, comprising; i. a central processing unit for retrieving, processing, and storing analyzed summaries of the reviews; ii. a review database for storing records of written reviews of mobile applications retrieved by the central processing unit; iii. a review analytics database for storing the records from the review database that are processed for use by a natural language processing module; iv. a natural language processing module for performing tokenization, lemmarization, and sentence splitting computing processes on the records of the written reviews; v. a review scraper module for retrieving users' reviews from online data sources, preprocessing them for compatibility with the natural language processing module, and storing them within the reviews database; vi. a sentiment analysis feature extraction processing module for processing the records of the written reviews stored within the reviews database to generate a profile for each mobile application comprising analytical summaries, and storing the profile within the review analytics database; and vii. a query interface web module to receive, over a network, a search request for a particular mobile application and/or class of mobile applications from a client computer, wherein the query interface web module provides the mobile application's profile and analytical summaries stored on the review analytics database to the client computer in response to the search request, wherein each analytical summary comprises a review detail webpage of the particular mobile application comprising: i. a score calculated by the central processing unit for features of the application that were reviewed, wherein said features are labeled either “positive” or “negative”; and ii. reviews of other cross-referenced applications that the central processing unit has determined: 1) were rated highly by a reviewer(s) who gave a positive rating to the application, and 2) were rated highly by reviewer(s) who gave a negative rating to the application.
7. The system of claim 1 , wherein the sentiment analysis feature extraction processing module utilizes lexical analysis, supervised machine learning sentiment, and topic analysis to compute the analytical summaries.