CrowdChunk System, Method, and Computer Program Product for Searching Summaries of Online Reviews of Products

• US 20140188665A1
• Filed: 10/20/2013
• Published: 07/03/2014
• Est. Priority Date: 01/02/2013
• Status: Abandoned Application

• Current Assignee: Codeq, LLC, CrowdChunk LLC
• Original Assignee: CrowdChunk LLC
• Inventors: Fernandes, Brian, Baker, Douglas Dane, Fernandez, Paulo Malvar
• Application Number:
  US14/058,263
• Publication Number:
  US 20140188665A1
• Time in Patent Office: Days
• US Class Current: 705/26.62
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy

Abstract

System, method, and computer program product for researching reviews written online to assess the performance and functionality of digital media consumer products bought online or not (e.g. eBooks, movies, TV shows, music, DVD'"'"'s, etc.). The system extracts reviews from multiple online sources comprising: online “stores”, professional articles, blogs, online magazines, websites, etc.; and, utilizes sentiment analysis algorithms and supervised machine learning analysis to present more informative summaries for each product'"'"'s reviews, comprising: 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. performance, price, etc.). Additionally, the user may view a separate review detail page per product that provides further summaries, such as a short list of other products that the same reviewer gave a very positive review for the features. The user is then able to purchase the product via a link.

Claims

1. ) A networked based computing system for retrieving, analyzing, and displaying multiple reviews of consumer products, wherein the reviews are posted on the Internet, to enable a user to search for and view analyzed summaries of the reviews, the system comprising:

a) a remote server, comprising;

i) a central processing unit for retrieving, computing, and storing analyzed summaries of the reviews;

ii) a review database for storing records of written reviews of products retrieved by the central processing unit from the Internet;

iii) a review analytics database for storing 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 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 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;

vii) a query interface web module to enable searching by a user the profiles stored on the review analytics database and viewing the analytical summaries;

b) two or more client computers comprising a graphical user interface for communicating with said system server to enable a user to search for a particular product, and/or a class of products, and view the analyzed summaries of the reviews for the product(s); and

,

c) a network for transmitting electronic communications between the client computers and the remote server.

2. ) The networked based computing system of claim 1 wherein said products comprise, digital media purchased for online streaming, downloading, accessing via the Internet, and/or physically shipping to the user.

3. ) The networked based computing system of claim 2, wherein digital media comprises:

eBooks;

paper books bought online and shipped;

podcasts;

digital movies, music, video games, audio books, TV shows, and desktop computer applications, that are streamed online or downloaded; and

, DVD'"'"'s copies purchased online and shipped to the user (e.g. DVD'"'"'s).

4. ) The system of claim 1, wherein said analytical summaries comprise one or more of:

a) a list of two or more quotes from the reviewers and displaying how many reviewers made a similar comment about the product;

b) a list of two or more quotes from the reviewers that the central processing unit has determined are the most positive and most negative comments about the product;

c) a list of features extracted from the reviews and displaying the average score of each feature as calculated by the central processing unit;

d) a review detail webpage for each product comprising;

i) a score calculated by the central processing unit for features of the product that were reviewed, wherein said features are labeled either “

positive”

or “

negative”

;

ii) reviews of other cross-referenced products that the central processing unit has determined;

     1) that a reviewer(s) who gave a positive rating to the application, also rated highly; and

     2) that reviewer(s) who gave a negative rating to the application, also rated highly; and

,

e) a professional reviews webpage listing reviews extracted from products professionals and links to the original review written by the professional.

5. ) The system of claim 1, wherein said reviews stored within the review database are preprocessed by the review scraper module directing the central processing unit to adjust and convert the review'"'"'s character encoding to ensure compatibility with the natural language processing module, and to remove all foreign language and other text if it is not translatable.

6. ) The system of claim 5, wherein said review scraper module performs superficial parsing to fix punctuation and capitalization of the text within the reviews to enable the natural language processing software to recognize sentences.

7. ) The system of claim 1, wherein the sentiment analysis feature extraction processing module utilizes lexical analysis, supervised machine learning analysis, and topic analysis to compute the analytical summaries.

8. ) The system of claim 7, wherein the sentiment analysis feature extraction processing module further directs the central processing unit to calculate the average score of the product'"'"'s rated features.

9. ) A computer implemented method for retrieving, analyzing, and displaying reviews of consumer products available on the Internet, the product to enable 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 analysis, and topic analysis to generate a profile for each product, and storing the profile within a review analytics database;

c) searching by a user from their electronic computing device the profiles stored on the review analytics database and viewing analytical summaries of features of the product; and

,

d) clicking by a user a link within the product'"'"'s displayed profile to the original online source for purchasing the product.

10. ) The computer implemented method of claim 9, wherein the products comprise digital media purchased for online streaming, downloading, accessing via the Internet, and/or physically shipping to the user.

11. ) The computer implemented method of claim 10, wherein the digital media comprises eBooks;

paper books bought online and shipped;

podcasts;

digital movies, music, video games, audio books, TV shows, and desktop computer applications, that are streamed online or downloaded; and

, DVD'"'"'s copies purchased online and shipped to the user (e.g. DVD'"'"'s).

12. ) The computer implemented method of claim 9, wherein said analytical summaries comprise a list of two or more quotes from the reviewers and displaying how many reviewers made a similar comment about the product.

13. ) The computer implemented method of claim 9, wherein said analytical summaries comprise a list of two or more quotes from the reviewers that the central processing unit has determined are the most positive and the most negative comments about the product.

14. ) The computer implemented method of claim 9, wherein said analytical summaries comprise a review detail webpage for each product displaying:

a) a score calculated by the central processing unit for features of the product that were reviewed, wherein said feature is labeled either “

positive”

or “

negative” and

comprise enjoy ability, and quality, ease of use and performance, and price; and

,

b) reviews of other cross-referenced products that the central processing unit has determined;

     1) that a reviewer(s) who gave a positive rating to the product, also rated highly; and

     2) that reviewer(s) who gave a negative rating to the product, also rated highly.

15. ) The computer implemented method of claim 9, wherein said analytical summaries comprise a professional reviews webpage listing reviews extracted from product professionals and links to the original review written by the professional.

16. ) A computer program product for retrieving, analyzing, and displaying reviews of consumer products available on the Internet, and embodied in a non-transitory computer readable medium that, when executing on one or more computer processors, configure the processor(s) to, 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 analysis, and topic analysis to generate a profile for each product, and storing the profile within a review analytics database;

c) searching by a user from their electronic computing device the profiles stored on the review analytics database and viewing analytical summaries of features of the product; and

,

d) clicking by a user a link within the application'"'"'s displayed profile to the original online source for purchasing the product online.

e) wherein the products comprise digital media purchased for online streaming, downloading, accessing via the Internet, and/or physically shipping to the user.

17. ) The computer program product of claim 16, further comprising a mobile application running on a user'"'"'s mobile electronic computing device enabling the user to search for and view profiles of products stored on the review analytics database comprising analytical summaries of features of the products.

18. ) The computer program product of claim 17, wherein the analytical summaries viewed by the user on their mobile electronic computing device comprises one or more of:

a) a list of two or more quotes from the reviewers and displaying how many reviewers made a similar comment about the product;

b) a list of two or more quotes from the reviewers that the central processing unit has determined are the most positive and most negative comments about the product; and

,

c) a list of features extracted from the reviews and displaying the average score of each feature as calculated by the central processing unit, wherein said features comprise enjoy ability, and quality, ease of use and performance, and price.

19. ) The computer program product of claim 17, wherein the analytical summaries viewed by the user on their mobile electronic computing device comprises a review detail webpage for each product displaying:

a) score calculated by the central processing unit for features of the product that were reviewed, wherein said features are labeled either “

positive”

or “

negative” and

comprise enjoy ability, quality, ease of use, performance, and price; and

,

b) reviews of other cross-referenced applications that the central processing unit has determined;

     1) that a reviewer(s) who gave a positive rating to the application, also rated highly; and

     2) that reviewer(s) who gave a negative rating to the application, also rated highly.

20. ) The computer program product of claim 17, wherein the analytical summaries viewed by the user on their mobile electronic computing device comprises a professional reviews webpage listing reviews extracted from product professionals and links to the original review written by the professional.

21. ) The computer program product of claim 16, wherein the digital media comprise:

eBooks;

paper books bought online and shipped;

podcasts;

digital movies, music, video games, audio books, TV shows, and desktop computer applications, that are streamed online or downloaded; and

, DVD'"'"'s copies purchased online and shipped to the user (e.g. DVD'"'"'s).