NgramPOS a bigram-based linguistic and statistical feature process model for unstructured text classification
Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. In-depth analysis of stock news is now sourced from financial reviews by various social networking and marketing sites to help improve deci...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5136/1/AJ%202018%20%28843%29%20NgramPOS%20a%20bigram-based%20linguistic%20and%20statistical%20feature%20process%20model%20for%20unstructured%20text%20classification.pdf |