Published By: IBM APAC
Published Date: Nov 22, 2017
AlchemyAPI’s approach to natural language processing incorporates both linguistic and statistical analysis techniques into a single unified system. This hybrid approach provides an industry-leading advantage since both techniques have benefits and drawbacks depending on the content and specific usecases. Linguistic analysis takes a basic grammatical approach to understand how words combine into phrases, and how those phrases combine into sentences. While this approach works well with editorialized text (e.g., news articles and press releases), it does not perform as well when it comes to usergenerated content, often filled with slang, misspellings and idioms. Statistical analysis, however, understands language from a mathematical standpoint and works well on “noisy” content (e.g., tweets, blog posts, and Facebook status updates). The combination of these two approaches allows for increased accuracy on a variety of content.
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Virtualization does have its dangers, as it incurs greater stress on physical resources. While under utilization of CPU may be a driving factor to virtualize servers, other hardware resources may become overtaxed. Given that a host system has limited ability (depends on application) to page memory used by the guest systems, the most recognized bottleneck to address is physical memory (RAM). Options to programmatically alleviate memory bottlenecks incur performance issues when the disk is re-introduced. Another major component and perhaps less acknowledged is the disk subsystem. In many cases, depending the purpose and application of the guest/virtual systems, the disk bottleneck will be the most significant barrier to performance. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4
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