1.China University of Petroleum (East China), Qingdao, Shandong 266000, China 2.Operation Coordination Department of Tianjin Branch of CNOOC (China) Co., Ltd., Tianjin 300000, China
About author:YU Qingshuang (yqs_18106301006@163.com) received the B.E. degree in Software Engineering from Qufu Normal University, China in 2019. He is currently pursuing a master’s degree in computer science at China University of Petroleum (East China). His research interests include data mining and deep learning. He once participated in the National College Student Innovation Competition and won the second prize.|ZHOU Jie is currently working at the Tianjin branch of China National Offshore Oil (China) Co., Ltd. (CNOOC). After graduating in 2006, he joined the offshore oil industry and worked in China Petroleum Environmental Protection Services (Tianjin) Co., Ltd. and CNOOC Tianjin Branch. His main research interests include understanding and resolving the contradiction between the sensitive areas of the three provinces and one city, the environmental protection zone, the main functional zoning of the ocean, and the offshore oil and gas exploration and development.|GONG Wenjuan received the B.E. degree in software engineering from Shandong University, China in 2004, the M.S. degree in computer graphics from Shandong University, China in 2007, and the M.S. and Ph.D. degrees in information technology from Autonomous University of Barcelona, Spain in 2013. From 2013 to 2014, she was a postdoctoral researcher with the Oxford Brooks University, UK. She is currently with China University of Petroleum (East China). Her research interests include computer vision, audio processing, machine learning, and quantum machine learning. She has published 14 SCI-indexed papers.
TUDORAN A A . Why do Internet Consumers Block Ads? New Evidence from Consumer Opinion Mining and Sentiment Analysis[J]. Internet Research, 2019,29(1):144-166. DOI: 10.1108/IntR-06-2017-0221
[2]
LEE S Y, KWON Y . Twitter as a Place Where People Meet to Make Suicide Pacts[J]. Public Health, 2018,159:21-26. DOI: 10.1016/j.puhe.2018.03.001
[3]
YANG X, XU S, WU H, BIE R . Sentiment Analysis of Weibo Comment Texts Based on Extended Vocabulary and Convolutional Neural Network[J]. Procedia Computer Science, 2019,147:361-368. DOI: 10.1016/j.procs.2019.01.239
[4]
RASOOL A, TAO R, MARJAN K, NAVEED T . Twitter Sentiment Analysis: A Case Study for Apparel Brands[J]. Journal of Physics: Conference Series, 2019,1176(2):022015. DOI: 10.1088/1742-6596/1176/2/022015
[5]
HUSSEIN D M E-D M . A Survey on Sentiment Analysis Challenges[J]. Journal of King Saud University-Engineering Sciences, 2016,30(4):330-338. DOI: 10.1016/j.jksues.2016.04.002
[6]
BAGHERI H, ISLAM M J . Sentiment Analysis of Twitter Data [DB/OL]. ( 2017-22-25).
[7]
SAIF H, HE Y, FERNANDEZ M , et al. Contextual Semantics for Sentiment Analysis of Twitter[J]. Information Processing & Management, 2016,52(1):5-19. DOI: 10.1016/j.ipm.2015.01.005
[8]
THELWALL M, BUCKLEY K, PALTOGLOU G . Sentiment Strength Detection for the Social Web[J]. Journal of the Association for Information Science & Technology, 2012,63(1):163-173. DOI: 10.1002/asi.21662
