Machine Learning Techniques for Sentiment Analysis: A Review
Citations
242Â citations
Cites methods from "Machine Learning Techniques for Sen..."
...Traditional machine learning methods commonly used include naive bayes, support vector machine, maximum entropy, random forest and conditional random fields model [18], [19]....
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59Â citations
Cites methods from "Machine Learning Techniques for Sen..."
...During the training process these techniques make rules to classify the unseen data (test data) [18-19], [20-23], [26-27]....
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Cites background or methods from "Machine Learning Techniques for Sen..."
...Today, there are fundamentally three approaches available to extract the opinion from text: Lexicon driven [1], machine learning based [2] and finally the hybrid of both [3]....
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...For training purpose pre-classified/pre-labeled data (training data) is used and then it can be capable to classify the real input data (test data) [2], [4], [5]....
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52Â citations
References
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