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Using Large Scale Text Mining Method to Understand User-Generated Posts on Facebook Business Pages

Abstract: 

Using Large Scale Text Mining Method to Understand User-Generated Posts on Facebook Business Pages

With the growth and prevalence of social media, many companies have launched business pages on Facebook to engage customers and encourage positive word-of-mouth about their products and services. Meanwhile, there is little research that investigates what users actually post on these pages and how characteristics of this new form of electronic word-of-mouth drive customer engagement. The researchers used Facebook GraphAPI to collect 0.53 million posts from 41 Facebook business pages. To study the contents of these posts, they manually analyzed a sample of 12,000 posts and established seven content categories. They then built large-scale SVM classifiers to predict the content category of unseen posts. To increase the accuracy of prediction, they extracted specialized attributes besides bag-of-words. This classification model achieved over 0.7 f-measures for the majority of categories. This research advances the understanding of consumer-generated word-of-mouth on new social media platforms and testifies the effectiveness of using large-scale text mining methods in IS research.

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Group name: 
renyq

February 2017 Maintenance

On Wednesday, February 1, 2017, from 8am - 4pm CDT, MSI staff will perform scheduled maintenance and upgrades to the network and various MSI systems. During this month's scheduled maintenance period, MSI will apply updates to prevent jobs from using more memory or CPU resources than what the job...

Gallery of Fluid Motion competition

A video presentation by Fotis Sotiropoulos (MSI Fellow) and Trung Le of St. Anthony Falls Laboratory and Daniel Keefe (MSI Principal Investigator) and Dane Coffey of Computer Science and Engineering won a prestigious award at the 2011 Annual Meeting of the APS Division of Fluid Mechanics. The...

Investigation of mantle structure beneath subducting slabs

Abstract: 

Investigation of Mantle Structure Beneath Subducting Slabs

These researchers are investigating mantle structure beneath subducting former oceanic lithosphere. This region is of interest because of the profound differences in mantle water content compared with the "wet" mantle above the slab. Differences in how the cold slab affects mineralogical phase transitions between the dry sub-slab and wet supra-slab regions offers unique insight into the role water plays in mantle circulation and how abundant it is. This work requires detailed synthetic seismogram calculations in three dimensions and computation of the seismic structure expected with 3D mantle circulation.

Group name: 
revenaug

Systematics and Evolution of Leptosporangiate Ferns

Abstract: 

Systematics and Evolution of Leptosporangiate Ferns

This work is focused primarily on molecular systematics and phylogenetics of ferns. The researchers are currently undertaking a genome skimming study that will utilize Illumina sequence data collected from across a family of ferns to determine broad patterns of genome structure and repeat content spanning that taxonomic group. Given that there is not yet an assembled and annotated fern genome, this study will illuminate aspects of genome biology in a non-model lineage.

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Group name: 
grusza

Blue Waters Call for Proposals

The Great Lakes Consortium for Petascale Computation (GLCPC) has issued a call for proposals for allocations on the Blue Waters High-Performance Computing System. Please see the GLCPC website for details on the call for proposals. Note that only principal investigators affiliated with an...

Assessing the Trade Off of Risk Mitigation Strategies

Abstract: 

Assessing the Trade Off of Risk Mitigation Strategies

This work aims at analyzing various risk mitigation strategies for a firm when a disruption has happened in its supply chain. To this end, a mixed integer programming model is being developed to identify optimal inventory allocation and sourcing of parts (that are disrupted) during the time to recovery for the firm. The project uses CPLEX to solve the optimization problems for this work.

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Group name: 
mehrotra

When and how does a research group renew MSI access?

Research groups will need to renew their MSI access once annually, in the period from November 1 to December 1 of every year. Renewal by December 1 ensures access for the following calendar year. At the time of renewal, researchers describe their progress and are allocated resources accordingly...

How do I log into Stratus?

Logging into Stratus Login with any web browser: https://stratus.msi.umn.edu Choose “ UMN OIT - Shibboleth (with Duo) ” Enter your UMN ID and Password when prompted. You're in! Congratulations, you are authenticated! If you have one or more Stratus allocations, you will see a list of all of your...

Genetic Differences Between Hemp and Marijuana

MSI PIs George Weiblen and M. David Marks , both professors in the Department of Plant Biology , have published research that identifies a gene that distinguishes hemp from marijuana. This research could have implications for future industrial uses of hemp. Currently, legal restrictions affect both...

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