Mining Text Data

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Aggarwal, Charu C. (Επιμελητής έκδοσης), Zhai, ChengXiang (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2012.
• Θέματα: Computer science.; Computer communication systems.; Database management.; Data mining.; Multimedia information systems.; Computer Science.; Database Management.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Computer Communication Networks.; Multimedia Information Systems.

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 algorithms are learned. Mining Text Data introduces an important niche...

Πίνακας περιεχομένων:

• An Introduction to Text Mining
• Information Extraction from Text
• A Survey of Text Summarization Techniques
• A Survey of Text Clustering Algorithms
• Dimensionality Reduction and Topic Modeling
• A Survey of Text Classification Algorithms
• Transfer Learning for Text Mining
• Probabilistic Models for Text Mining
• Mining Text Streams
• Translingual Mining from Text Data
• Text Mining in Multimedia
• Text Analytics in Social Media
• A Survey of Opinion Mining and Sentiment Analysis
• Biomedical Text Mining: A Survey of Recent Progress
• Index.