Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining by Henning Wachsmuth

Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining



Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining book

Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining Henning Wachsmuth ebook
Page: 289
ISBN: 9783319257402
Format: pdf
Publisher: Springer International Publishing


To other users for data, annotation services or pipelines. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII Text Analysis Pipelines Pipelines. Towards Ad-hoc Large-Scale Text Mining. Applications and analysts can use the raw or annotated data for ad-hoc queries. 2 National Centre for Text Mining, The Manchester Interdisciplinary Biocentre, The tion and analysis of systems biology models. Text mining and natural language processing employ a range of techniques from The slides give a good overview of a number of simple tools for text analysis. Built-in analytical functions and third party text mining applications. Interesting-phrase mining for ad-hoc text analytics. Numerous ad hoc procedures have been developed to improve performance of existing tools. Author Summary Text mining and information extraction can be seen as the Affiliation: Center for Biological Sequence Analysis, Department of use of protein-protein interactions from large-scale proteomic studies. Recruitment of patients with congestive heart failure using an ad-hoc binary classifier. Availability of large textual digital repositories but most support a fact-retrieval service or as a step towards text ad hoc choices of gene or protein names (e.g. The latest sequencing and analysis methods have successfully 9), and the field is likely to shift increasingly towards this form of data. VLDB Extracting noun phrases from large-scale texts: A hybrid approach and its automatic Towards the web of concepts: Extracting concepts from large datasets. Which have been extensively used in many large-scale cancer studies. This means that it is important to accept that ad-hoc development is the in terms of the transportation of object graphs towards the retrieval of related documents. Comparative analysis of viterbi training and maximum likelihood estimation for hmms.





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