Predicting Movie Sales from Blogger Sentiment

By Gilad Mishne, Natalie S. Glance. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, 2006

398 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4aa448fd474d8820524db307229cd01c9535e83b

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Citations in the corpus

Widespread Worry and the Stock Market (2010, background): “Blog posts and blog sentiment have been shown to predict product sales (Gruhl, et al. 2005; Mishne and Glance 2006) and to correspond to certain high profile events (Balog, Mishne and de Rijke 2006).”
A Survey of Opinion Mining and Sentiment Analysis (2012, background): “A related problem that has also been studied in the past few years is the determination of the usefulness, helpfulness or utility of each review [26, 50, 61, 118, 64, 70, 117].”
Computational approaches for mining user's opinions on the Web 2.0 (2014, background): “…Twitter as a basis for opinion mining Bollen, Mao, & Zeng, 2011; Davidov, Tsur, & Rappoport, 2010; Pak & Paroubek, 2010; or newswire text Balahur, Steinberger, van der Goot, Pouliquen, & Kabadjov, 2009; Sayeed, 2011; or Blogs Leshed & Kaye, 2006; Mishne & Glance, 2006; Zhang, Yu, & Meng, 2007).”
Sentiment in Twitter events (2011, result): “For instance, blog post sentiment and frequency can predict movie revenues, with more positive reviews suggesting improved revenue (Mishne & Glance, 2006).”
Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data (2012, background): “However, by analyzing the sentiment of blog stories on movies, Mishne and Glances emphasize that the correlation between pre-release sentiment and sales is not at an adequate level to build up a predictive model [26].”
Predicting the Future with Social Media (2010, background): “Mishne and Glance [15] correlate sentiments in blog posts with movie box-office scores.”
A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data (2012, background): “Previously, but in a similar way, blog posts were correlated with book sales (Gruhl, Guha, Kumar, Novak, & Tomkins, 2005) or movie gross incomes (Mishne & Glance, 2006).”
How (Not) to Predict Elections (2011, background): “, prediction of box-office success of movies [7] and product marketability [4]), economics (e.”
Identifying Expressions of Emotion in Text (2007, background): “Previous work in sentiment analysis has been done on a variety of text genres, including product and movie reviews [9, 18], news stories, editorials and opinion articles [20], and more recently, blogs [7].”
Opinion Mining and Sentiment Analysis (2008, background): “Besides reputation management and public relations, one might perhaps hope that by tracking public viewpoints, one could perform trend prediction in sales or other relevant data [214].”
Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter (2011, background): “Three examples relevant to public health, markets, entertainment, history, evolution of language and culture, and prediction are (1) Google’s digitization of over 15 million books and an initial analysis of the last two hundred years, showing language usage changes, censorship, dynamics of fame, and”