SIGKDD Calls for Proposals

2016 IEEE International Conference on Big Data (IEEE BigData 2016)

The workshop on Textual Customer Feedback Mining and Transfer Learning in conjunction with 2016 IEEE International Conference on Big Data (IEEE BigData 2016) aims at bringing together a diverse group of practitioners, researchers, engineers and data scientists who are actively involved in processing user feedback data based on data mining and machine learning techniques to share latest findings in the field, exchange ideas on how to improve the strategies, address real-world problems, and explore a vision for the future direction and new research areas in customer feedback brought by advancement in big data analytics, data mining, machine learning and statistical learning. Moreover, the workshop will review the status of transfer learning and domain adaptation and, to discuss the challenges that we are facing, especially given enormous weakly labeled source/auxiliary data for learning tasks on the target data, and to explore future directions particularly in the unconstrained social environments, such as social media data in the cloud, Facebook and YouTube applications, and textual customer feedback mining.

Topics of interest include, but are not limited to:

  • Text Analytics in Customer Feedback, Surveys and Reviews
  • Text Mining of Social Media for Topic Trends
  • Web-based Text Mining in Customer Reviews
  • Sentiment Analysis in Customer Feedback, Surveys and Reviews
  • Sentiment Analysis of Social Media for Customer Voice
  • Big Data Science Behind Customer Feedback “Bot”
  • Relational Text Mining
  • Transfer Learning and Its Applications on Customer Feedback Analysis
  • Transfer Learning and Social Media, e.g., Kin Relationship Understanding, Knowledge Transfer between Different Web Sources: Twitter, Facebook, YouTube, etc. Large-Scale Transfer Learning with Latent, Complex, or Noisy Source Domain(s)
  • Large-Scale Transfer Learning with Multimodality, Multi-Source, or Multi-View Data
  • Integration of Transfer Learning and Human Knowledge, e.g., Active Learning on Customer Feedback Analysis

Important Dates

Oct.24, 2016: Due date for full workshop papers submission Nov.1, 2016: Notification of paper acceptance to authors
Nov.15, 2016: Camera-ready of accepted papers
Dec. 5-8,2016: Workshops

More details regarding the workshop can be found from https://sites.google.com/site/tcfmtl2016/. You may also check the main conference website: http://cci.drexel.edu/bigdata/bigdata2016/. If you are interested in submitting your work, please refer to https://sites.google.com/site/tcfmtl2016/submission. Please feel free to contact the primary workshop contact Dr.Xin Deng (xinde@microsoft.com) or Dr.Ming Shao (mshao@umassd.edu) if you have any question.

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