000			02191nam a22003615i 4500
001			91783
005			20240312114724.0
010			_a978-3-030-52680-1 _dcompra
090			_a91783
100			_a20231023d2020 k||y0pory50 ba
101	0		_aeng
102			_aCH _bCham
200	1		_aText analytics _bDocumento eletrónico _eadvances and challenges _fedited by Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca
210			_aCham _cSpringer International Publishing _d2020
215			_aXI, 302 p. _cil.
225	2		_aStudies in Classification, Data Analysis, and Knowledge Organization
303			_aFocusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing. .
606			_aSocial sciences _xStatistical methods
606			_aComputational linguistics
606			_aData mining
606			_aSocial sciences
606			_aHumanities
606			_aStatistics
606			_aApplication software
680			_aHA1-4737
702			_973169 _aIezzi _bDomenica Fioredistella _4340
702			_973170 _aMayaffre _bDamon _4340
702			_973171 _aMisuraca _bMichelangelo _4340
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-030-52680-1
942			_2lcc _cF _n0