Feature Selection Techniques for Effective Model Building and Estimation on Twitter Data to Understand the Political Scenario in Latvia with Supporting Visualizations
abstract: In supervised learning, machine learning techniques can be applied to learn a model on a small set of labeled documents which can be used to classify a larger set of unknown documents. Machine learning techniques can be used to analyze a political scenario in a given society. A lot of r...
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| Format: | Dissertation |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/2286/R.I.40214 |