Xiaoling Wang – författare
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3 produkter
3 produkter
Del 4 - East China Normal University Scientific Reports
Opinion Analysis For Online Reviews
Inbunden, Engelska, 2016
1 608 kr
Skickas inom 5-8 vardagar
This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
Del 4 - East China Normal University Scientific Reports
Opinion Analysis For Online Reviews
Häftad, Engelska, 2016
927 kr
Skickas inom 5-8 vardagar
This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
Del 7 - EAST CHINA NORMAL UNIVERSITY SCIENTIFIC REPORTS
TIME-AWARE CONVERSION PREDICTION FOR E-COMMERCE
Inbunden, Engelska, 2018
1 719 kr
Skickas inom 3-6 vardagar
This unique compendium provides a novel research on how time influences the conversions of advertising and product recommendation in E-commerce. It proposes time-aware conversion prediction models to solve the problem — what products should be recommended for a given period to maximize conversion? The volume also presents a series of researches on how to build data-driven attribution models to allocate the time-sensitive contribution of advertisements to the conversion. This must-have reference text will be invaluable for researchers, professionals, academics and graduate students keen in databases and artificial intelligence.