With SAP HANA platform, you can gain real insights from your unstructured textual data. The platform provides search, text analysis, and text mining functionality for unstructured text sources.

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Learn how full natural-language processing capabilities support linguistic analysis and entity and relationship extraction for your enterprise in-memory data.

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In addition, you can now apply statistical algorithms that enable you to detect patterns in large document collections, including key term identification and document categorization. This is the first course in our new SAP HANA Core Knowledge series that provides insight into special features on the SAP HANA platform.

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We focus services on two SAP HANA database components: text analysis and text mining.

These components comprise a suite of linguistic, statistical, and machine learning capabilities that model and structure the information content of textual sources in multiple languages.

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Text Analysis with SAP HANA also gives structure to unstructured textual content. It extracts and processes unstructured text data from various file formats and classifies entities, such as people, companies, data and at times you can also identity domain facts such as Sentiments, Topics and Requests.

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We can provide support to combined structured and unstructured data, query it analyze it , visualize it , and thanks to SAP HANA in memory technology You can do it all in real time.

There’s no longer a need for large volume converting , pre-aggregating or indexing, and you can also significantly reduce Cost of ownership and with the SAP HANA information access tool kit you can also create your own Search apps for mobile devices or browser based deployments and design any no of user interfaces to fit your needs .

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Engage with TPC today to understand the latest advancements and capabilities with Text Analysis & Searching as well as Text Data Processing within the SAP HANA Platform.