Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
- 1 November 2013
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 40 (16), 6266-6282
- https://doi.org/10.1016/j.eswa.2013.05.057
Abstract
No abstract availableThis publication has 38 references indexed in Scilit:
- #Occupy Wall StreetAmerican Behavioral Scientist, 2013
- Streaming trend detection in TwitterInternational Journal of Web Based Communities, 2013
- Automated text classification using a dynamic artificial neural network modelExpert Systems with Applications, 2012
- Whose and What Chatter Matters? The Impact of Tweets on Movie SalesSSRN Electronic Journal, 2011
- Sentiment in Twitter eventsJournal of the American Society for Information Science and Technology, 2010
- Measuring effectiveness of a dynamic artificial neural network algorithm for classification problemsExpert Systems with Applications, 2010
- Twitter power: Tweets as electronic word of mouthJournal of the American Society for Information Science and Technology, 2009
- Sentiment analysis in multiple languagesACM Transactions on Information Systems, 2008
- Giving Content to Investor Sentiment: The Role of Media in the Stock MarketThe Journal of Finance, 2007
- A dynamic artificial neural network model for forecasting time series eventsInternational Journal of Forecasting, 2005