Sentiment Analysis

By Vinita Silaparasetty. Encyclopedia of Social Network Analysis and Mining, 2025

982 citations recorded by the source corpus.

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Learning Word Vectors for Sentiment Analysis (2011, background): “Some recent work introduces extensions of LDA to capture sentiment in addition to topical information (Li et al., 2010; Lin and He, 2009; Boyd-Graber and Resnik, 2010).”
What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook (2020, background): “To put this into perspective, Haselmayer and Jenny (2017) find a correlation of 0.65 between manual expert ratings and their dictionary rating (for similar levels of correlation, see also Thelwall & Buckley, 2013).”
Sentiment analysis of Twitter data for predicting stock market movements (2016, background): “Bing et al. [15] studied the tweets and concluded the predictability of stock prices based on the type of industry like Finance, IT etc. Zhang [13] found out a high negative correlation between mood states like hope, fear and worry in tweets with the Dow Jones Average Index.”