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| #1288908 in Books | Springer | 2012-02-03 | Original language:English | PDF # 1 | 9.30 x1.40 x6.20l,1.90 | File type: PDF | 524 pages | |
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 in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. Thi...
You easily download any file type for your device.Mining Text Data | From Brand: Springer. A good, fresh read, highly recommended.
