Text nailing

<p>Text Nailing (TN) is an <a href="/facts/Information_extraction/DL9nMD2X">information extraction</a> method of semi-automatically extracting structured information from unstructured documents. The method allows a human to interactively review small blobs of text out of a large collection of documents, to identify potentially informative expressions. The identified expressions can be used then to enhance computational methods that rely on text (e.g., <a href="/facts/Regular_expression/KFL3veHX">Regular expression</a>) as well as advanced <a href="/facts/Natural_language_processing/1hjMKsSN">natural language processing</a> (NLP) techniques. TN combines two concepts: 1) human-interaction with narrative text to identify highly prevalent non-negated expressions, and 2) conversion of all expressions and notes into non-negated alphabetical-only representations to create homogeneous representations. 
</p><p>In traditional <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> approaches for <a href="/facts/Text_classification/B69lL6BH">text classification</a>, a human expert is required to label phrases or entire notes, and then a <a href="/facts/Supervised_learning/JlNFNPFt">supervised learning</a> algorithm attempts to generalize the associations and apply them to new data. In contrast, using non-negated distinct expressions eliminates the need for an additional computational method to achieve generalizability.
</p>

Text nailing open-in-new

Text nailing