WEB MINING AND CONTENT ANALYSIS

Track chairs:

  • Ben Carterette (Spotify, USA)
  • Zhiyuan Liu (Tsinghua University, China)
  • Barbara Poblete (University of Chile, Chile)

Email: thewebconf2021-webmining@easychair.org

We invite research contributions to the Web Mining and Content Analysis track at the 30th edition of the Web Conference series (formerly known as WWW), to be held April 19-23, 2021 in Ljubljana, Slovenia (http://www2021.thewebconf.org).

The Web Mining and Content Analysis track welcomes submissions of original and high-quality research papers related to the extraction of information from the Web, the analysis of the Web and social media content, recommendation, and mining of the Web usage data. We especially encourage submissions that propose novel and principled techniques or algorithms that can leverage the special characteristics of the Web, its social media, and user behaviors for such extraction and mining. In addition to new techniques and algorithms, we also seek insights gained from the mining process.

Topics include (but are not limited to):

Machine learning and data science for the Web

  • Learning representations and features from Web data
  • Machine learning algorithms for large-scale content mining
  • Web data integration and cleaning
  • Visualization of Web data

Language technologies and the Web

  • Human-machine dialogue
  • Community question answering
  • Fact-checking and detection of misinformation and disinformation
  • Normalization, clustering, classification, and summarization of Web text
  • Extraction of entities, attributes, relations, and events
  • Topic discovery and tracking
  • Sentiment analysis and opinion mining
  • Content-based information diffusion
  • Other forms of Web text and social media mining

Integrating varied data

  • Content mining of multimedia and multimodal Web data
  • Content mining of multilingual and cross-lingual Web data
  • Bridging structured and unstructured data

Web activities and dynamics

  • Web traffic and log data analysis
  • Recommendation systems
  • Web measurements
  • Information diffusion on the Web
  • Models for Web evolution
  • Predictive analytics over Web datasets
  • Other novel applications

Submission guidelines, relevant dates, and important policies can be found at http://www2021.thewebconf.org/authors/call-for-papers/.