US 9,223,831 B2Granted

System, method and computer program product for searching summaries of mobile apps reviews

AssigneeCodeq LLC

InventorsDouglas Dane Baker, Brian Fernandes, Paulo Malvar Fernandez, Muhammad Abdul-Mageed

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Abstract

A system, method, and computer program product (e.g. mobile App) and/or web-based service is provided to enable users to research online reviews in order to assess the performance and functionality of mobile applications. The system extracts reviews from multiple online sources, including: mobile Apps “stores”, blogs, online magazines, websites, etc.; and, utilizes sentiment analysis algorithms and supervised machine learning analysis to present more informative summaries for each App's reviews. Summaries may include: a sentence that encapsulates a sentiment held by many users; the most positive and negative comments; and a list of features with average scores (e.g. graphics, fun, easy to use, etc.). Additionally, the user may view a separate review detail page per App that provides further summaries, such as a short list of other Apps that the same reviewer gave a very positive review for the features. The user is then able to purchase and download the App via a link.

Claims18

Dependent claims

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.

11 more elements

A computer implemented method for retrieving, analyzing, and displaying reviews of mobile application software configured for a user to search for and view the analyzed summaries of the reviews, comprising processor(s) on a system server:

a) retrieving users' reviews from online data sources, preprocessing them for compatibility with a natural language processing module, and storing them within a reviews database;
b) processing the reviews stored within the reviews database using lexical analysis, supervised machine learning sentiment, and topic analysis to generate a profile for each mobile application, and storing the profile within a review analytics database;
c) searching the profiles stored on the review analytics database based on a request from a user on their electronic computing device, and associating analytical summaries of features of the mobile application with the profile for the mobile application;
and,
d) transmitting the application to the user's electronic computing device based on receiving the user's selection of a link within the mobile application's profile,
wherein said analytical summaries comprise a review detail webpage for each application displaying:
i. a score calculated by the central processing unit for features of the application that were reviewed, wherein said feature is labeled either “positive” or “negative” and comprise enjoy ability, graphics and user interface quality, ease of use and performance, and price;
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.

8 more elements

A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, performs the steps of:

a) retrieving users' reviews from online data sources, preprocessing them for compatibility with a natural language processing module, and storing them within a reviews database;
b) processing the reviews stored within the reviews database using lexical analysis, supervised machine learning sentiment, and topic analysis to generate a profile for each mobile application, and storing the profile within a review analytics database, wherein the profile comprises analytical summaries of features of the mobile application;
c) searching the profiles stored on the review analytics database based on a request from a user on their electronic computing device, and providing analytical summaries of features of the mobile application to the electronic computing device;
and,
d) transmitting the application to the user's electronic computing device based on receiving the user's selection of a link within the mobile application's profile
wherein the analytical summaries viewed by the user on their mobile electronic computing device comprises a review detail webpage for each application displaying:
i. 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 comprise enjoy ability, graphics and user interface quality, ease of use and performance, and price;
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.

8 more elements

Dependencies are inferred from the claim text.