首页|Studies from Mustansiriyah University Describe New Findings in Machine Learning (Sentiment Analysis Techniques -Survey)
Studies from Mustansiriyah University Describe New Findings in Machine Learning (Sentiment Analysis Techniques -Survey)
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A new study on artificial intelligence is now available. According to news originating from Mustansiriyah University by NewsRx correspondents, research stated, “Online social media platforms allow people to express their ideas and opinions about anything as products, education, or politics, this produce a huge data requires appropriate tools to analyze it accurately, and that’s why Sentiment Analysis (SA) has become more used in recent years.” Our news editors obtained a quote from the research from Mustansiriyah University: “This paper review the SA and classification methods of machine learning especially supervised techniques like Support Vector Machine (SVM), Neural Networks (NN), Naive Bayes (NB), Rough Set Theory (RST), Random Forest (RF), Decision Trees (DT), and other technology of SA is lexicon techniques and hybrid methods (which include the lexicon and machine learning techniques). Machine learning consist of two group supervised (Classification and Regression) and unsupervised (clustering and association).”
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