Web Mining and Content Analysis

We invite research contributions for the 26th World Wide Web Conference Web Mining and Content Analysis Track.

The Web Mining and Content Analysis Track welcomes submissions of original, high-quality papers related to the analysis of web data in all its forms, ranging from the content itself to the associated entities and related metadata. We also welcome the application of such analyses for recommendations, predictive analytics, topic discovery and other novel tasks.

Topics of interest include:

Data Science for Web

• Data integration and cleaning
• Learning representation and features from Web data
• Algorithms for large-scale content mining
• Visualization of Web data

Language Technologies and the Web

• Text analysis, clustering and classification
• Sentiment analysis and opinion mining
• Multilingual and cross-lingual analysis
• Information extraction of entities, relationships and events
• Question answering from the Web
• Summarization of Web data

Integration of diverse data

• Content mining of multimedia and multimodal data
• Bridging structured and unstructured data

Activities and Dynamics

• Traffic and log analysis
• Web measurements
• Information Diffusion
• Models for Web evolution

Applications

• Predictive analytics over Web datasets
• Recommendation systems
• Event detection and monitoring
• Topic discovery
• Other novel applications

Track Chairs

Contact: web-mining-www-2017@googlegroups.com

• Deepayan Chakrabarti (University of Texas at Austin)
• Mausam (Indian Institute of Technology Delhi)
  Jian Pei (Simon Fraser University)

Senior Track Chairs

Program Committee

Download this call for papers as a PDF [704 kB]