Wei Peng - Fremont CA, US Tong Sun - Penfield NY, US
Assignee:
Xerox Corporation - Norwalk CT
International Classification:
G06F 17/30
US Classification:
707802, 705319
Abstract:
A system and method for identifying a key influencer in a social media environment for enterprise marketing utilizing topic modeling and social diffusion analysis. A user interest profile can be generated by analyzing historical data stored in a database utilizing. A social graph can be generated and an influence measuring process based on the social graph data can be performed utilizing a static diffusion model and a dynamic diffusion model to calculate a set of key influencers. The dynamic diffusion model considers time stamp information to assess an impact of each user communication on the growth of a conversation within a time period. The key influencer can be identified in a specific topic area and a number of total users that can be reached via the influencer within a specific time window can be predicted.
Systems, Methods And Devices For Generating An Adjective Sentiment Dictionary For Social Media Sentiment Analysis
Wei Peng - Sunnyvale CA, US Dae Hoon Park - Champaign IL, US
Assignee:
Xerox Corporation - Norwalk CT
International Classification:
G06F 17/27
US Classification:
704 9, 704E11001
Abstract:
Embodiments generally relate to systems and methods for generating a sentiment dictionary and calculating sentiment scores of adjectives within the sentiment dictionary. A set of seed words can be identified and expanded using synonyms and antonyms of the set of seed words. Social media data can be parse to identify adjectives that link to the set of seed words with the words “and” or “but.” Matrices representing the attraction and repulsion among the linked adjectives can be generated. A factorization algorithm can be minimized to determine an output matrix that comprises positive and negative sentiment scores for each of the adjectives. In embodiments, a sentiment score for part of all of the social media data can be calculated using the output matrix, and one or more parts of the social media data can be classified as a positive or negative sentiment.
Method And System For Extracting And Classifying Geolocation Information Utilizing Electronic Social Media
Wei Peng - Fremont CA, US Anuj Jaiswal - State College PA, US Tong Sun - Penfield NY, US Matthew DeRoller - Webster NY, US
Assignee:
XEROX CORPORATION - Norwalk CT
International Classification:
G06F 17/30
US Classification:
707743, 707754, 707E1711, 707E17018
Abstract:
Methods, systems and processor-readable media for extracting and classifying location information utilizing social media messages and/or data thereof. The social media messages can be sampled from a social media database and the messages filtered based on a heuristic rule. A geolocation entity from the unstructured social media messages can be extracted utilizing a geolocation entity extracting module. The messages with the geoentities can be uploaded onto a crowd sourcing platform to manually annotate the messages with a label. A text classification model can be built and learned from the label utilizing a machine learning algorithm and the messages can be classified by a location classifier in order to extract the user location. The user location can then be transformed into a geocode so that a spatial search can be enabled and the distance between the locations can be easily calculated.
Systems And Methods For Controlling Data Access In Client-Side Encryption
- Mountain View CA, US Wei Hua Peng - San Francisco CA, US
International Classification:
G06F 21/62 G06F 21/60
Abstract:
Systems and methods for controlling access to data in applications using client-side encryption. In that regard, in some examples, a first application (e.g., an email application, calendar application, messaging application, word processing application, file storage application, etc.) hosted from a particular web domain may be configured to invoke a second application hosted from a different origin (e.g., a different web domain or subdomain) to handle receiving and encrypting any sensitive information from a client entered through a client application (e.g., a web browser), and to handle decrypting information to be provided to the client through the client application. This second application may be loaded in an inline frame or similar subwindow or subroutine configured to prevent or limit the first application from having access to sensitive information in the second application.
Recommendation Of Recipes To A User Of An Online Concierge System Based On Items Included In An Order By The User
- San Francisco CA, US Wei Peng - San Francisco CA, US
International Classification:
G06Q 30/06
Abstract:
An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system generates a recipe vector for each recipe based on items included in a recipe. A dimension of a recipe vector identifies an item included in a corresponding recipe and may include an importance score of the item to the recipe. The importance score of an item to a recipe is based on a term frequency of the item in the recipe and an inverse document frequency of the item across multiple recipes. The online concierge system determines overlap between items in recipe vectors an order vector generated from items included in an order from a user and selects a recipe for the user based on overlapping items in the recipe vector and in the order vector.
- Mountain View CA, US Wei Peng - Fremont CA, US Nicolas Crowell - San Francisco CA, US
International Classification:
G06K 9/00 G06K 9/62 G06N 5/02
Abstract:
In one aspect, a method includes obtaining videos and for each video: obtaining a set of anchors for the video, each anchor beginning at the playback time and including anchor text; identifying, from text generated from audio of the video, a set of entities specified in the text, wherein each entity in the set of entities is associated with a times stamp at which the entity is mentioned; determining, by a language model and from the text generated from the audio of the video, an importance value for each entity; for a subset of the videos, receiving rater data that describes, for each anchor, the accuracy of the anchor text in describing subject matter of the video; and training, using the human rater data, the importance values, the text, and the set of entities, an anchor model that predicts an entity label for an anchor for a video.
Method And Apparatus For Modeling A Population To Predict Individual Behavior Using Location Data From Social Network Messages
- Norwalk CT, US Wei Peng - Fremont CA, US Tong Sun - Penfiled NY, US Ming Yang - Fairport NY, US
Assignee:
Xerox Corporation - Norwalk CT
International Classification:
G06F 17/18 H04L 29/08 H04L 12/58
Abstract:
A method, non-transitory computer readable medium, and apparatus for predicting a location behavior of at least one individual are disclosed. For example, the method receives a plurality of social networking messages having spatial location data and user identification information, filters the plurality of social networking messages to remove one or more of the plurality of social networking messages that are not related to mobility of a user to create a filtered plurality of social networking messages, creates a population model by applying a kernel density estimation to the filtered plurality of social networking messages, creates an individual model for each different user identification by applying the kernel density estimation to a subset of the filtered plurality of social networking messages for the each different user identification and generates a probability density function map that predicts the location behavior of the at least one individual.
Method And Apparatus For Recommending Topic-Cohesive And Interactive Implicit Communities In Social Customer Relationship Management
- Norwalk CT, US Wei Peng - Fremont CA, US Saurabh Kataria - Webster NY, US Tong Sun - Penfield NY, US
Assignee:
Xerox Corporation - Norwalk CT
International Classification:
G06Q 30/00 G06Q 50/00
US Classification:
705319
Abstract:
A method, non-transitory computer readable medium, and apparatus for recommending a topic-cohesive and interactive implicit community are disclosed. For example, the method receives a request for customer care, selects an implicit community identified from a plurality of individual users of a social media website based upon a relevance score related to a topic of the request for customer care and recommends the implicit community in response to the request for customer care.
Symphony Health Solutions since Apr 2012
Consulting Analytics
ZS Associates - Philadelphia Mar 2011 - Mar 2012
Business Analytics Associate
NuVerse Advisors Feb 2011 - Mar 2011
Wealth Management Intern
Dean & Deluca Jul 2010 - Sep 2010
Consulting Intern
Thayer Gear Sep 2009 - Sep 2010
Co-Manager
Education:
Dartmouth College 2009 - 2011
Master of Engineering Management
Beihang University 2005 - 2009
Bachelor of Engineering/Bachelor of Arts, Materials Science and Engineering/Law Theory
Skills:
Strategic Sourcing Operations Management Sales Management Management Consulting Competitive Analysis Consulting Offering R&D Lean Six Sigma Black Belt Six Sigma Value Based Pricing Program Evaluation Structural Equation Modeling Strategic Forecasting Predictive Modeling Continuous Improvement