Comprehensive coverage of social networks data mining: Provides an in-depth understanding of current research trends and challenges
Focus on heterogeneous and multimedia text data: Addresses advanced mining scenarios beyond traditional text data
Advanced methods such as transfer learning and cross-lingual mining: Explores cutting-edge techniques for complex data environments
Edited by leading researchers and practitioners: Ensures authoritative and up-to-date content
Suitable for advanced students, practitioners, and researchers: Offers a valuable reference for diverse academic and professional needs
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Mining Text Data Charu C. Aggarwal | ChengXiang Zhai Computers / Database Administration & Management
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorit