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Download the "Microsoft Office Word Add-in For MediaWiki" from Microsoft Download Center, and install it. Save the document as "MediaWiki (*.txt)" file type. Copy the text from the (*.txt) file into your Wiki page; Note that this extension does not work for Word 2013 by default, however it can be made to work with a registry change. See this page.
Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. [1] [2] Key phrases, key terms, key segments or just keywords are the terminology which is used for defining the terms that represent the most relevant information contained in the document. Although the terminology is different ...
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. Event extraction: Given an input document, output zero or more event templates. For instance, a newspaper article might describe multiple terrorist attacks.
Topic modeling to extract the main themes using NNMF and Factor Analysis. Correspondence analysis in order to identify words or concepts (or content categories) associated with any categorical meta-data associated with documents. Pre-and post-processing with R and python script; Analyze more than 70 languages including Chinese, Japanese, Korean ...
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 ...
Terminology extraction (also known as term extraction, glossary extraction, term recognition, or terminology mining) is a subtask of information extraction.The goal of terminology extraction is to automatically extract relevant terms from a given corpus.
Here, content is extracted from the original data, but the extracted content is not modified in any way. Examples of extracted content include key-phrases that can be used to "tag" or index a text document, or key sentences (including headings) that collectively comprise an abstract, and representative images or video segments, as stated above.
gDoc Fusion: Proprietary, shareware; PDF views, edits, converts documents into PDF, XPS or Microsoft Word document; after 30 days a watermark is placed on documents in shareware version; OmniPage: Converts to and from PDF and other formats with many options. Nitro PDF Reader: Extracts Images in original resolution.