id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_7z3ossdi4rddjfj5xuw5l6m5eq	Andrius Mudinas	Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora	2018	18	.pdf	application/pdf	15345	6178	85	method which uses the induced lexicon to assign positive/negative sentiment scores to unlabeled documents first, a nd t hen u ses those There are many different approaches to sentiment classification in the Natural Language Processing (NLP) literature — from simple lexicon-based When we need to perform sentiment classification in a new domain unseen before, there are usually neither labeled dictionary available to employ induce a sentiment lexicon in the discovered vector space from a very small set of seed words as method specifically for Twitter sentiment classification, while our approach would work for not only the χ2 test on the results of their lexicon-based sentiment classifier) in order to handle the neutral class, word embeddings4 and the 'General Inquirer' lexicon (Stone et al., 1966) with the sentiment polarity scores collected by Warriner et al. To examine the effectiveness of different machine learning algorithms for building such domainspecific word sentiment classifiers, we attempt to	./cache/work_7z3ossdi4rddjfj5xuw5l6m5eq.pdf	./txt/work_7z3ossdi4rddjfj5xuw5l6m5eq.txt