id
	14991
Url
	https://chloe.cnr.it/s/BiDiAr/item/14991
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	A new ANEW: Evaluation of a word list for sentiment analysis in microblogs
Creator
	Nielsen, Finn Årup
Date
	2011
Abstract
	Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, -- a 'sentiment lexicon' or 'affective word lists'. There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) developed before the advent of microblogging and sentiment analysis. I wanted to examine how well ANEW and other word lists performs for the detection of sentiment strength in microblog posts in comparison with a new word list specifically constructed for microblogs. I used manually labeled postings from Twitter scored for sentiment. Using a simple word matching I show that the new word list may perform better than ANEW, though not as good as the more elaborate approach found in SentiStrength.
Is Part Of
	arXiv
Cited by
	13604
Doi
	https://doi.org/10.48550/arXiv.1103.2903
Volume
	1103.2903
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/DCAEK3HD/item-list

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