Extracting Information. (Book Reviews: The General Inquirer. A Computer Approach to Content Analysis)

By P. Stone, D. Ogilvie. 1967

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Textual Sentiment in Finance: A Survey of Methods and Models (2014, background): “Tetlock et al. (2008) argue that ‘examining all newsworthy events simultaneously limits the scope for dredging for anomalies’ (Fama (1998): 1438).”
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation (2017, neutral): “General Inquirer (Stone et al., 1966).”
Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words (2018, background): “• All 4,206 terms in the positive and negative lists of the General Inquirer (Stone et al., 1966).”
SentiWS - A Publicly Available German-language Resource for Sentiment Analysis (2010, background): “The first source is (Stone et al., 1966)’s General Inquirer (GI) lexicon.”
Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon (2010, methodology): “We will also use it to evaluate automatically generated lexicons, such as the polarity lexicons by Turney and Littman (2003) and Mohammad et al.”
Semi-Supervised Polarity Lexicon Induction (2009, background): “This motivation was seen in the General Enquirer effort by Stone et al. (1966) and several others who manually construct such lexicons for the English language.”