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您的检索式：作者名="Saima Akbar"
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| 1 | Session Lay- er-Assisted Effieient TCP Management Architecture for 6LoW- PAN with Multiple Gateways 显示文摘 | Saima Zafar All Hammad Akbar Sana Jabbar | 2010 | Network Business Weekly2010，12，7： | 1 |
| 2 | Comparative study for machine learning classifier recommendation to predict political affiliation based on online显示文摘In the current era of social media,different platforms such as Twitter and Facebook have frequently been used by leaders and the followers of political parties to participate in political events,campaigns,and elections.The acquisition,analysis,and presentation of such content have received considerable attention from opinion-mining researchers.For this purpose,different supervised and unsupervised techniques have been used.However,they have produced less efficient results,which need to be improved by incorporating additional classifiers with the extended data sets.The authors investigate different su-pervised machine learning classifiers for classifying the political affiliations of users.For this purpose,a data set of political reviews is acquired from Twitter and annotated with different polarity classes.After pre-processing,different machine learning classifiers like K-nearest neighbor,naïve Bayes,support vector machine,extreme gradient boosting,and others,are applied.Experimental results illustrate that support vector machine and extreme gradient boosting have shown promising results for predicting political affiliations. | Hayat Ullah Bashir Ahmad Iqra Sana Anum Sattar Aurangzeb Khan Saima Akbar Muhammad Zubair Asghar | 2021 | CAAI Transactions on Intelligence Technology2021，6，3： | 0 |
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