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Showing 1 to 13 of 13 for “"Text extraction."”.

  1. TERMS: Text Extraction from Redundant and Multiple Sources

    … are referenced in different formats (e.g. textual documents, web pages, database records, ontologies etc.). Identity resolution aims at creating a single view into the data where different facts are interlinked and incompleteness is remedied. We propose a four-step approach that starts with …

    whiterose Repository record for TERMS: Text Extraction from Redundant and Multiple Sources (opens in a new tab)

  2. Text Extraction From Natural Scene: Methodology And Application

    … Most of these applications can benefit from text information extraction in natural scene. However, scene text extraction is a challenging problem to be solved, due to cluttered background of natural scene and multiple patterns of scene text itself. To solve these problems, this dissertation …

    cuny-grad Repository record for Text Extraction From Natural Scene: Methodology And Application (opens in a new tab)

  3. Text Analytics to Inform Deviation Root Cause Analysis in Biomanufacturing

    … processing tools to derive information from text describing deviations and causal factors. Several methods are explored, namely, unsupervised clustering using machine learning and natural language processing to identify and cluster similar causal factors, explicit text extraction which …

    mit Repository record for Text Analytics to Inform Deviation Root Cause Analysis in Biomanufacturing (opens in a new tab)

  4. Scene Text Localization and Recognition for Images of Serial Numbers and Odometer Readings

    … models and methods to create a full scene text extraction system. The system is composed of two main parts, a localization network and a recognition network, with the recognition network being the main focus. The localization network is a segmentation network that localizes the region in an …

    mit Repository record for Scene Text Localization and Recognition for Images of Serial Numbers and Odometer Readings (opens in a new tab)

  5. Artificial Neural Networks-Driven High Precision Tabular Information Extraction from Datasheets

    … manufacturing. A generalized solution for table text extraction would have to handle the variations in the page content and table layouts in order to accurately extract the text. We hypothesize that a table text extraction pipeline can extract this data in three stages. The first stage would …

    ottawa-retro Repository record for Artificial Neural Networks-Driven High Precision Tabular Information Extraction from Datasheets (opens in a new tab)

  6. Categorisation of sexual reproductive health short messages texts into thematic areas using text mining (a case study for the Zambia u-report).

    … and access remote counseling services. This free texting program is run by the National HIV/AIDS/STI/TB Council supported by UNICEF. Millions of messages have been exchanged, but categorizing them manually to see what topics adolescents frequently ask about is challenging. This research explored …

    zimbabwe Repository record for Categorisation of sexual reproductive health short messages texts into thematic areas using text mining (a case study for the Zambia u-report). (opens in a new tab)

  7. Categorisation of sexual reproductive health short messages texts into thematic areas using text mining (a case study for the Zambia u-report).

    … and access remote counseling services. This free texting program is run by the National HIV/AIDS/STI/TB Council supported by UNICEF. Millions of messages have been exchanged, but categorizing them manually to see what topics adolescents frequently ask about is challenging. This research explored …

    zambia Repository record for Categorisation of sexual reproductive health short messages texts into thematic areas using text mining (a case study for the Zambia u-report). (opens in a new tab)

  8. Automated understanding of data visualizations

    … (graph, chart, infographic, etc.), they read the text and process the images to quickly understand the communicated message. This research works toward emulating this ability in computers. In pursuing this goal, we have explored three primary research objectives: 1) extracting and ranking the most …

    mit Repository record for Automated understanding of data visualizations (opens in a new tab)

  9. Prioritized text spotting using SLAM

    … observations to achieve efficient and effective text detection and decoding for a sensor suite moving through an environment rich in text at a variety of scales and orientations with respect to the observer. We use simultaneous localization and mapping (SLAM) to isolate planar "tiles" …

    mit Repository record for Prioritized text spotting using SLAM (opens in a new tab)

  10. Building CTRnet Digital Library Services using Archive-It and LucidWorks Big Data Software

    … Big Data (LWBD) software, we take advantage of text extraction, clustering, similarity, annotation, and indexing services and build digital libraries with the generated metadata that will be helpful for the system stakeholders to locate information about an event. Through this study, we …

    vt Repository record for Building CTRnet Digital Library Services using Archive-It and LucidWorks Big Data Software (opens in a new tab)

  11. An investigation into the efficacy of URL content filtering systems

    … the efficacy of the content filter. Using text extraction and pattern matching techniques to look for evidence of access to restricted content within this study, the results demonstrate that the belief that content filtering systems reliably prevent access to restricted content is …

    edithcowan Repository record for An investigation into the efficacy of URL content filtering systems (opens in a new tab)

  12. Extracting generic text information from images

    As a vast amount of text appears everywhere, including natural scene, web pages and videos, text becomes very important information for different applications. Extracting text information from images and video frames is the first step of applying them to a specific application and this task is …

    uts Repository record for Extracting generic text information from images (opens in a new tab)

  13. Extracting Coronary Lesion Information from Angiogram Reports for Patient Screening Applications

    … echocardiogram reports. The ejection fraction extraction task has been solved with regular expressions, a simple and somewhat inflexible pattern-matching approach. Our coronary lesion extraction followed a two-step general architectural approach that is common in NLP (Named Entity Recognition …

    mit Repository record for Extracting Coronary Lesion Information from Angiogram Reports for Patient Screening Applications (opens in a new tab)