Analyzing impact of number of features on efficiency of hybrid model of lexicon and stack based ensemble classifier for twitter sentiment analysis using WEKA tool
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DOI: 10.11591/ijeecs.v22.i2.pp1041-1051
Abstract: Twitter is used by millions of people across the world, so the data collected from Twitter can be highly valuable for research and helpful in decision support. Here in this paper ‘Twitter US Airline data’… read more here.
Keywords: sentiment; lexicon; feature; number features ... See more keywords