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Goutam Chakraborty

75 papers and 3 presentations; 78 titles; 106 coauthors.

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Conference × Year × Title × Co-authors Extras Pages
WUSS 2022 Evaluating CO2 storage potential of SECARB Offshore Reservoirs and Saline Formations by Employing Data-driven Models with SAS Viya software Kodjo Botchway,
Rupom Bhattacherjee,
Xitong Hu,
Jack Pashin,
Prem Bikkina		 source 11
SGF 2020 Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models Thu Dinh source 23
PharmaSUG 2020 Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models Thu Dinh source 22
SGF 2019 Scouting in Soccer with Applied Machine Learning Vishal Gaurav source 19
SGF 2018 Measuring Response to the Ultimate Driving Machine: Consumer Sentiments and Brand Advertising Amit K Ghosh,
Praveen Kumar Kotekal		 source 8
SCSUG 2017 Analysis on EpiPen Tweets during Crisis Situations Miriam McGaugh,
Josh Weiner		 source 14
SCSUG 2017 Analyzing Theft Occurrences in Chicago Using SAS Enterprise Miner 14.1 Shikha Prasad,
Kunal Parekh,
Miriam McGaugh		 source 10
SCSUG 2017 Apple or Samsung? Which Phone Should I Buy? Sentiment Analysis Utilizing Customer Reviews on Unlocked iPhone and Samsung Galaxy Rosie Nguyen,
Nandan Moza,
Miriam McGaugh		 source 14
SCSUG 2017 The True Price for Your House Mettilda Kaimathuruth source 15
SCSUG 2017 Which smartphone would you choose? Mohana Krishna Chaitanya Korlepara,
Miriam McGaugh		 source 15
SGF 2017 Price Recommendation Engine for Airbnb Praneth Guggilla,
Singdha Gutha		 source 10
SGF 2017 Visualizing Market Structure Using Brand Sentiments Praveen Kumar Kotekal,
Amit K Ghosh		 source 9
SCSUG 2016 Analyzing sentiments in tweets for Tesla Model 3 Praneth Guggilla,
Tejaswi Jha		 source 12
SCSUG 2016 Sentiment Analysis of Opinions about Self Driving Cars Nachiket Kawitkar,
Swapneel Deshpande,
Miriam McGaugh		 source 13
SESUG 2016 Know your Interest Rate Anirban Chakraborty source 16
SGF 2016 Analysis of IMDb Reviews for Movies and Television Series Using SAS Enterprise Miner and SAS Sentiment Analysis Studio Ameya Jadhavar,
Prithvi Raj Sirolikar		 source 17
SGF 2016 Arrest Prediction and Analysis based on a Data Mining Approach Karan Rudra,
Maitreya Kadiyala		 source 9
SGF 2016 Comparative Regional Analysis of Bacterial Pneumonia Readmission Patients in the Medicare Category Heramb Joshi,
William Paiva,
Aditya Sharma		 source 12
SGF 2016 Improving Performance of Memory-Based Reasoning Model by Using Weight of Evidence Coded Categorical Variables Vinoth Kumar Raja,
Vignesh Dhanabal		 source 6
SGF 2016 Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS Enterprise Miner 12.3 Mostakim Tanjil source
presentation		 12
SGF 2016 Proposing a Recommendation System for DonorsChoose.org Heramb Joshi,
Sandeep Chittoor,
Vignesh Dhanabal,
Sharat Dwibhasi		 source 21
SGF 2016 Survival Analysis of the Patients Diagnosed with Non-Small Cell Lung Cancer Using SAS Enterprise Miner 13.1 Raja Rajeswari Veggalam,
Akansha Gupta		 source 11
SGF 2016 Using SAS Text Miner for Automatic Categorization of Blog Posts on a Social Networking Site Dedicated to Cyclists Heramb Joshi source 11
MWSUG 2015 Debt Collection Through SAS Analytics Lens Karush Jaggi,
Thomas Waldschmidt,
Harold Dickerson,
Eric Hayes		 11
SGF 2015 A Mathematical Model for Optimizing Product Mix and Customer Lifetime Value Atul Thatte source
zip		 16
SGF 2015 Alien Nation: Text Analysis of UFO Sightings in the US Using SAS Enterprise Miner 13.1 Pradeep Reddy Kalakota,
Naresh Abburi,
Zabiulla Mohammed		 source
zip		 14
SGF 2015 Analyzing and Visualizing the Sentiment of the Ebola Outbreak via Tweets Dheeraj Jami,
Shivkanth Lanka		 source 11
SGF 2015 Analyzing Marine Piracy from Structured and Unstructured Data Using SAS Text Miner Raghavender Reddy Byreddy,
Nitish Byri,
Tejeshwar Gurram,
Anvesh Reddy Minukuri		 source 12
SGF 2015 Application of Text Mining on Tweets to Collect Rational Information about Type-2 Diabetes Shubhi Choudhary,
Vijay Singh		 source 7
SGF 2015 Donor Sentiment and Characteristic Analysis Using SAS Enterprise Miner and SAS Sentiment Analysis Studio Ramcharan Kakarla source 12
SGF 2015 Forecasting Vehicle Sharing Demand Using SAS Forecast Studio Kushal Kathed,
Ayush Priyadarshi		 source 9
SGF 2015 Improving SAS Global Forum Papers Vijay Singh,
Pankush Kalgotra		 source 7
SGF 2015 Improving the Performance of Two-Stage Modeling Using the Association Node of SAS Enterprise Miner 12.3 Girish Shirodkar,
Ankita Chaudhari		 source 9
SGF 2015 Location-Based Association of Customer Sentiment and Retail Sales Asish Satpathy,
Tanvi Kode		 source 6
SGF 2015 Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS Enterprise Miner 13.1 Hephzibah Munnangi source 10
SGF 2015 Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 Balamurugan Mohan source 18
SGF 2015 Statistical Evaluation of the Doughnut Clustering Method for Product Affinity Segmentation Darius S. Baer source
zip		 12
SGF 2015 Using Text from Repair Tickets of a Truck Manufacturing Company to Predict Factors that Contribute to Truck Downtime Ayush Priyadarshi source 9
SGF 2014 A Way to Fetch User Reviews from iTunes Using SAS [presentation] Jiawen Liu,
Mantosh Kumar Sarkar,
Meizi Jin		 source 3
SGF 2014 Analysis of Unstructured Data: Applications of Text Analytics and Sentiment Mining Murali Krishna Pagolu source 14
SGF 2014 Application of Text Mining in Tweets Using SAS and R, and Analysis of Change in Sentiments toward Xbox One Using SAS Sentiment Analysis Studio Aditya Datla,
Reshma Palangat		 source 8
SGF 2014 Association Mining of Brain Data: An EEG Study Pankush Kalgotra,
Ramesh Sharda		 source 6
SGF 2014 Automatic Detection of Section Membership for SAS Conference Paper Abstract Submissions: A Case Study Murali Krishna Pagolu source 13
SGF 2014 Clustering and Predictive Modeling of Patient Discharge Records with SAS Enterprise Miner Linda Schumacher source 9
SGF 2014 Dining with the Data: The Case of New York City and Its Restaurants Pruthvi Bhupathiraju Venkata source 7
SGF 2014 How to Interpret SVD Units in Predictive Models? Murali Krishna Pagolu source 10
SGF 2014 Internet Gambling Behavioral Markers: Using the Power of SAS Enterprise Miner 12.1 to Predict High-Risk Internet Gamblers Sai Vijay Kishore Movva,
Vandana Reddy		 source 11
SGF 2014 Predicting a Child Smoker Using SAS Enterprise Miner 12.1 [presentation] Jin Ho Jung,
Gaurav Pathak		 source 3
SGF 2014 Prediction of the Rise in Sea Level by the Memory-Based Reasoning Model Using SAS Enterprise Miner 12.1 [presentation] Prasanna K S Sailaja Bhamidi source 4
SGF 2014 The Role of Customer Response Models in Customer Solicitation Center's Direct Marketing Campaign Arun Mandapaka,
Amit Kushwah		 source 12
SGF 2014 Using SAS Enterprise Miner to Predict the Injury Risk Involved in Car Accidents Prateek Khare,
Vandana Reddy		 source 7
SGF 2013 %GetReviews: A SAS Macro to Retrieve User Reviews in JSON Format from Review Websites and Create SAS Data Sets Ganesh Badisa,
Siddhartha Reddy Mandati		 source 9
SGF 2013 Adding Graph Visualization on SAS ODS Output Miriam McGaugh,
Shirmeen Virji,
Yu Fu		 source 4
SGF 2013 Analysis of Change in Sentiments towards Chick-fil-A after Dan Cathy?s Statement about Same-Sex Marriage Using SAS Text Miner and SAS Sentiment Analysis Studio View Paper View Poster Jeffin Jacob,
Swati Grover		 source
pdf		 12
SGF 2013 Extension Node to the Rescue of the Curse of Dimensionality via Weight of Evidence (WOE) Recoding Andrew Cathie,
Satish Garla		 source 9
SGF 2013 Feature Extraction and Rating of a Smartphone Photosharing Application Using SAS Sentiment Analysis Studio Anil Kumar Pantangi,
Sahithi Ravuri,
Siddhartha Reddy Mandati		 source
pdf		 10
SGF 2013 Feature-Based Sentiment Analysis on Android App Reviews Using SAS Text Miner and SAS Sentiment Analysis Studio Jiawen Liu,
Mantosh Kumar Sarkar		 source
pdf		 7
SGF 2013 Getting an Overview of SAS Data in Three Steps Miriam McGaugh,
Shirmeen Virji,
Yu Fu		 source
pdf		 7
SGF 2013 Impact of London Olympics According to Tweeters Shirmeen Virji,
Yu Fu		 source
pdf		 7
SGF 2013 Investigating the Impact of Amazon Kindle Fire HD 7? on Amazon.com Consumers Using SAS Text Miner and SAS Sentiment Analysis View Paper View Poster Hari Hara Sudhan Duraidhayalu,
Srihari Nagarajan		 source
pdf		 14
SGF 2013 Opinion Mining and Geo-positioning of Textual Feedback from Professional Drivers Mantosh Kumar Sarkar source 11
SGF 2013 Optimize SAS/IML Software Codes for Big Data Simulation Chao Huang,
Yu Fu		 source
pdf		 7
SGF 2013 Predictive Modeling in Sports Leagues: An Application in the Indian Premier League Pankush Kalgotra,
Ramesh Sharda		 source 10
SGF 2013 Product Affinity Segmentation That Uses the Doughnut Clustering Approach Darius S. Baer source 17
SGF 2012 Analysis of Clickstream Data Using SAS Sumit Sukhwani,
Satish Garla		 source 13
SGF 2012 Analyzing Sentiments in Tweets about Wal-Marts Gender Discrimination Lawsuit Verdict Using SAS Text Miner Hari Hara Sudhan Duraidhayalu,
Satish Garla		 source 8
SGF 2012 Application of Time Series Clustering Using SAS Enterprise Miner for a Retail Chain Karthik Nakkeeran,
Satish Garla		 source 9
SGF 2012 Classification of Customers Textual Responses via Application of Topic Mining Anil K. Pantangi source 6
SGF 2012 Comparison of K-Means, Normal Mixtures and Probabilistic-D Clustering for B2B Segmentation Using Customers Perceptions Satish Garla,
Gary Gaeth		 source 8
SGF 2012 Easily Add Significance Testing to your Market Basket Analysis in SAS Enterprise Miner Michael Faron source 6
SGF 2012 Investigating Host Plant Resistance to Aphid Feeding through SAS Text Miner Ning Song,
Jiawen Liu,
James A. Anstead		 source 10
SGF 2012 SAS Since 1976: An Application of Text Mining to Reveal Trends Zubair Shaik,
Satish Garla		 source 10
SGF 2011 %GetTweet: A New SAS Macro to Fetch and Summarize Tweets Satish Garla source 12
SGF 2011 A SAS Macro to Consolidate Data from Multiple Cards with Varying Time Validity but Belonging to a Single Account Sohail Mohammad source 6
SGF 2011 Comparison of Probabilistic-D and k-Means Clustering in Segment Profiles for B2B Markets Dipanjan K. Dey,
Satish Garla		 source 9
SGF 2011 Eliminating Response Style Segments in Survey Data via Double Standardization before Clustering Murali Krishna Pagolu source 15
SGF 2011 Improving Customer Loyalty Program through Text Mining of Customers Comments Maheshwar R. Nareddy source 8
SGF 2009 The Increased Utilization of Analytics and How Academic Programs Are Responding to Job Market Demands by Leveraging Predictive Modeling with SAS Enterprise Miner Certification Julie Petlick source 4

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