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  2. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    Extracting embedded text is a ... and can recognize and edit text and graphics. Collabora Online: MPLv2.0 ... Microsoft Excel spreadsheet, Microsoft PowerPoint ...

  3. Docudesk - Wikipedia

    en.wikipedia.org/wiki/Docudesk

    Docudesk is leveraging its experience in PDFs with DocQ.com an online "business center" to provide secure PDF storage, sharing, publishing, digital signatures, and annotations. The goal of DocQ is to provide a single venue for securely managing important documents, such as contracts and forms, and give unprecedented control over how they are ...

  4. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    The overall goal being to create a more easily machine-readable text to process the sentences. Typical IE tasks and subtasks include: Template filling: Extracting a fixed set of fields from a document, e.g. extract perpetrators, victims, time, etc. from a newspaper article about a terrorist attack.

  5. Data extraction - Wikipedia

    en.wikipedia.org/wiki/Data_extraction

    Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...

  6. Web scraping - Wikipedia

    en.wikipedia.org/wiki/Web_scraping

    Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.

  7. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [1] Written resources may include websites, books, emails, reviews, and ...

  8. Keyword extraction - Wikipedia

    en.wikipedia.org/wiki/Keyword_extraction

    keyword extraction (keywords are chosen from words that are explicitly mentioned in original text). Methods for automatic keyword extraction can be supervised, semi-supervised, or unsupervised. [ 4 ] Unsupervised methods can be further divided into simple statistics, linguistics or graph-based, or ensemble methods that combine some or most of ...

  9. Nitro Pro - Wikipedia

    en.wikipedia.org/wiki/Nitro_Pro

    Nitro Software offers a PDF editor, a browser-based application for electronic signatures, and various PDF productivity tools. Subscription services feature cloud-based user management, deployment, and analytics tools.