The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

By Ronen Feldman, James Sanger. 2006

804 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c5b8febfcc1029f34310d9e5329ff82d86e30fb6

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Citations in the corpus

• Defining service innovation: A review and synthesis (2016, unknown): “The analysis was conducted in three steps – classification, coding, and text analysis – using qualitative text mining (Feldman & Sanger, 2007).”
• The Stock Sonar - Sentiment Analysis of Stocks Based on a Hybrid Approach (2011, methodology): “Extraction rules were written in the DIAL language (Feldman and Sanger 2006), an early ancestor of CARE.”
• Predicting the severity of a reported bug (2010, background): “Learning [8].”
• The MADlib Analytics Library or MAD Skills, the SQL (2012, background): “Basic text analysis tasks include part-of-speech (POS) tagging, named entity extraction (NER), and entity resolution (ER) [12, 18].”
• Friendship prediction and homophily in social media (2012, methodology): “Predicting the presence of a link between two entities in a network is one of the major challenges in link mining [Getoor and Diehl 2005]. A common approach to the link prediction problem is to infer ties from the structural properties of the social network. Liben-Nowell and Kleinberg [2003] discuss”
• The Architecture of Dynamic Capability Research Identifying the Building Blocks of a Configurational Approach (2016, unknown): “Mixed measurement is how one takes data that varies in its structure – 43 e.g., the real difference between qualitative and quantitative measurement is in how the data is structured and who does the structuring (see e.g., Feldman & Sanger, 2007) – and fuses it into a meaningful measured construct.”
• Building Program Vector Representations for Deep Learning (2014, methodology): “In these baseline methods, we adopt the bag-of-words model, which is a widely-used approach in text classification [52].”
• Big Data Application in Biomedical Research and Health Care: A Literature Review (2016, background): “13 Much of the data that are unstructured 14 (eg, notes from EHRs, 15,16 clinical trial results, 17,18 medical images, 19 and medical sensors) provide many opportunities and a unique challenge to formulate new investigations.”