By Thorsten Joachims
Based on principles from help Vector Machines (SVMs), Learning to categorise textual content utilizing aid Vector Machines provides a brand new method of producing textual content classifiers from examples. The technique combines excessive functionality and potency with theoretical realizing and superior robustness. specifically, it truly is powerful with no grasping heuristic elements. The SVM technique is computationally effective in education and category, and it comes with a studying idea which could consultant real-world applications.
Learning to categorise textual content utilizing help Vector Machines supplies an entire and exact description of the SVM method of studying textual content classifiers, together with education algorithms, transductive textual content type, effective functionality estimation, and a statistical studying version of textual content class. additionally, it contains an outline of the sphere of textual content category, making it self-contained even for rookies to the sector. This booklet provides a concise creation to SVMs for development acceptance, and it contains a specific description of the way to formulate text-classification projects for computing device learning.
Read or Download Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science) PDF
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