DATA MINING TWITTER TO PREDICT STOCK MARKET MOVEMENTS
In this paper we apply sentiment analysis of Twitter data from July through December, 2013 to find correlation between users’ sentiments and NASDAQ closing price and trading volume. Our analysis is based on the Affective Norms for English Words (ANEW). We propose a novel way of determining weighted...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
National Institute for Economic Research
2015-04-01
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| Series: | Economy and Sociology |
| Subjects: | |
| Online Access: | ftp://ince.md/Economie%20si%20Sociologie%20nr_1-2015/16.Pecionchin.pdf |