Sentiment Analysis Technology of Chinese Weibo under the Background of Big Data
Keywords:
Big Data; Deep Learning; Chinese; Weibo's Emotional Analysis.Abstract
Chinese Weibo sentiment analysis technology is an important driving force for the development and progress of natural language processing, machine learning and other related fields. The purpose of this paper is to discuss the research of Chinese Weibo's sentiment analysis technology under the background of big data. At first, it summarizes the development history and current situation of sentiment analysis technology, then introduces the development status and challenges of Chinese Weibo's sentiment analysis technology, and finally looks forward to the future development of Chinese Weibo's sentiment analysis technology. At the same time, this paper deeply discusses the challenges faced by Chinese Weibo sentiment analysis technology, such as the processing of massive data, the processing of unstructured data, the complexity of sentiment understanding and the diversity of languages. In view of these challenges, this paper puts forward corresponding solutions and suggestions, and provides a useful reference for the development of Chinese Weibo sentiment analysis technology. Generally speaking, the emotional analysis of Chinese Weibo in this paper has important practical significance and application value, with a view to providing valuable theoretical support and practical guidance for the research and practice in related fields.
Downloads
References
Bao Shuhua, Shi Yingxin. Emotional analysis of domestic film reviews under the condition of big data [J]. journal of hulunbeier college, 2022(002):030.
Lu Yanxia, Wu Di, Huang Chuanlin. Emotional analysis of Weibo users facing public emergencies under big data environment [J]. Software Engineer, 2017, 020(001):45-48.
Liu Ping. The public's emotional tendentiousness towards domestic football players-Weibo's emotional analysis based on big data [J]. Sports Science and Technology Literature Bulletin, 2022, 30(3):246-250.
Shi Zhenhua. Cognitive and Emotional Analysis of Chengdu Night Tourists Based on Weibo Big Data [J]. Journal of Sichuan Cadre Correspondence College, 2021, 000(003):82-89.
Li Tongtong, Guo Xuning, Zhou Yanli, et al. Analysis of the emotional state of college students under the COVID-19 epidemic and its influencing factors-evidence based on Weibo's text mining [J]. Open Learning Research, 2022, 27(5):10.
Zhou Yuan. A method for emotional analysis of social big data [J]. China Strategic Emerging Industries, 2019, (010):194.
Li Zekui, Li Xueting, Zhao Yanyan. Analysis of the reasons for the emotional distribution of hot events in Weibo [J]. journal of chinese information, 2018, 32(1):8.
Cheng Ziwen, Zeng Hao, Jiang Bin, et al. Analysis and design of Weibo public opinion text relevance under the background of big data [J]. Modern Information Technology, 2020(018):004.
Wang Xiwei, Xing Yunfei, Wei Yanan, et al. Research on the construction of big data-driven emotional theme classification model of public opinion users in social networks-taking the theme of "immigration" as an example [J]. 2021(2020-1):29-38.
Liu Qiuhui, Chai Yumei, Liu Zhen. Chinese Weibo Emotion Analysis Model SR-CBOW[J]. Miniature Microcomputer System, 2018, 39(008):1693-1699.
Downloads
Published
Conference Proceedings Volume
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.








