Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora Abstract A word’s sentiment depends on the domain in which it is used. Computational social science research thus requires sentiment lexicons that

First Page		Document Content
Date: 2016-09-26 20:29:55 Computational linguistics Linguistics Natural language processing Applied linguistics Semantics Computational science Artificial neural networks Speech recognition Sentiment analysis SemEval Word embedding Word-sense disambiguation		Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora Abstract A word’s sentiment depends on the domain in which it is used. Computational social science research thus requires sentiment lexicons that Add to Reading List Source URL: arxiv.org Download Document from Source Website File Size: 1,14 MB Share Document on Facebook

	Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities Yulia Grishina and Manfred Stede Applied Computational Linguistics FSP Cognitive Science University of Potsdam DocID: 1vrep - View Document
	Modelling context within a constraint-based account of quantifier usage Chris Cummins1, 2 and Napoleon Katsos1 1 Department of Theoretical and Applied Linguistics, University of Cambridge DocID: 1uKOl - View Document
	Surfaces and Depths in Text Understanding: The Case of Newspaper Commentary Manfred Stede University of Potsdam Dept. of Linguistics Applied Computational Linguistics DocID: 1uATj - View Document
	Medical-domain Machine Translation in KConnect Pavel Pecina Charles University, Prague Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics DocID: 1uxga - View Document
	Scrambled Word Recognition: Implications for Position Coding Chris Cummins Research Centre for English and Applied Linguistics (RCEAL) University of Cambridge Position coding: DocID: 1u6Ph - View Document