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Text mining
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#	Item
31	RightFind™ XML for Mining Frequently Asked Questions 1. What does XML for Mining do? Researchers struggle to gain access to full-text articles for mining. When they do get the full-text they must contend with multiple Add to Reading List Source URL: www.rightsdirect.com - Date: 2015-07-08 14:41:21
32	Specializations for the Peruvian Professional in Statistics: A Text Mining Approach Luis Cajachahua Espinoza UNI, Perú Add to Reading List Source URL: ceur-ws.org - Date: 2015-10-12 18:59:42
33	Entity Typing: A Critical Step for Mining Structures from Massive Unstructured Text Xiang Ren† Wenqi He† Ahmed El-Kishky† Clare R. Voss‡ Heng Ji] Meng Qu† Jiawei Han† ‡ † Add to Reading List Source URL: www.mlgworkshop.org - Date: 2016-08-14 01:22:56
34	Text Mining of Social Media: Going beyond the Text and Only the TextText Mining of Social Media: Going beyond the Text and Only the Text Add to Reading List Source URL: noisy-text.github.io Language: English - Date: 2016-08-14 21:11:08 Natural language processing Computational linguistics Data analysis Data mining Digital media Text mining Artificial intelligence Computing Social media
35	Pacific Symposium on Biocomputing 13:INTRINSIC EVALUATION OF TEXT MINING TOOLS MAY NOT PREDICT PERFORMANCE ON REALISTIC TASKS J. GREGORY CAPORASO1 , NITA DESHPANDE2 , J. LYNN FINK3 , PHILIP Add to Reading List Source URL: psb.stanford.edu Language: English - Date: 2015-08-18 15:12:15 Biology Biological databases Bioinformatics Academia Genetics Proteomics UniProt STING Mutation Protein Data Bank
36	Towards Technology Structure Mining from Scientific Literature Behrang QasemiZadeh Unit for Natural Language Processing, DERI National University of Ireland, Galway Add to Reading List Source URL: pars.ie Language: English - Date: 2015-10-23 12:15:03 Computational linguistics Natural language processing Artificial intelligence Language Computing Data mining Knowledge representation Ontology learning Ontology Information extraction Text mining Semantic network
37	Future TDM Explore . Analyse . Improve The Future of TEXT AND DATA MINING Add to Reading List Source URL: project.futuretdm.eu Language: English - Date: 2016-07-15 03:57:21 Media in Macau TDM Television in Macau Mass media Macau Broadcasting
38	How to deal with heterogeneous data? Mathieu Roche UMR TETIS (Cirad, Irstea, AgroParisTech) – France LIRMM (CNRS, University of Montpellier) – France Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2015-10-12 18:54:24 Natural language processing Data mining Artificial intelligence Computational linguistics Data analysis Text mining Computing Language Information extraction Information retrieval Knowledge extraction
39	PDF Document Add to Reading List Source URL: lrec2016.lrec-conf.org Language: English - Date: 2016-04-27 14:54:02 Linguistics Computational linguistics Language Natural language processing Corpus linguistics Applied linguistics Annotation Writing Text mining FrameNet Text corpus American National Corpus
40	International Relations Online Working Paper, NoCorpus-Based Content Analysis: A Method for Investigating News Coverage on War and Intervention Amelie Kutter and Cathleen Kantner Add to Reading List Source URL: www.uni-stuttgart.de Language: English - Date: 2012-02-22 03:27:25 Linguistics Academia Computational linguistics Discourse analysis Semantics Artificial intelligence applications Applied linguistics Corpus linguistics Text mining Text corpus Content analysis Semantic field