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Research on Sentiment Analysis of Micro-blog's Topic Based on TextRank's Abstract

Authors:

Kong Ying,

Pan Jingchang,

Wu MingleiAuthors Info & Claims

ICIT '17: Proceedings of the 2017 International Conference on Information Technology

Pages 86 - 90

https://doi.org/10.1145/3176653.3176698

Published: 27 December 2017 Publication History

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Abstract

The widespread rise of social media makes the social network more complex, and the development of Web2.0 technology makes the users' online participation greatly increased. According to the psychological research, the groups are easier to establish extreme positions than members that is what is called the group polarization phenomenon. If we do not control and guide the network rumors, the network group events and even the violences are easy to occur. In order to stop the unexpected event, the positive and negative events should be discerned in time. Due to the widespread use of micro-blog platform, the speed and breadth of propagation of the micro-blog hot topics is not expected, so it is important to distinguish the sentiment properties of topics. In order to solve this problem, the spam filtering mechanism based on TextRank is proposed, and the sentiment of the micro-blog hot topics after filtration is analyzed. Compared to the classifier based on sentiment dictionary and the classifier based on Naive Bayesian, the proposed algorithm improves the accuracy of sentiment analysis and recall rate effectively.

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Wang YChu CLan T(2022)Sentiment Classification of Educational Tourism Reviews Based on Parallel CNN and LSTM with Attention MechanismMobile Information Systems10.1155/2022/61774272022Online publication date: 1-Jan-2022
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Chen GXie CLu QHuang YMiao LPeng Z(2022)TopsBot: Facilitating Mental Health Peer Support with a Topic-based Writing Assistant in Instant Messaging AppsProceedings of the Tenth International Symposium of Chinese CHI10.1145/3565698.3565794(256-261)Online publication date: 22-Oct-2022
https://dl.acm.org/doi/10.1145/3565698.3565794
Lee CIo HTang H(2022)Sentiments and perceptions after a privacy breach incidentCogent Business & Management10.1080/23311975.2022.20500189:1Online publication date: 21-Mar-2022
https://doi.org/10.1080/23311975.2022.2050018
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Index Terms

Research on Sentiment Analysis of Micro-blog's Topic Based on TextRank's Abstract
1. Information systems
  1. Information systems applications
    1. Data mining
      1. Clustering

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ICIT '17: Proceedings of the 2017 International Conference on Information Technology

December 2017

492 pages

ISBN:9781450363518

DOI:10.1145/3176653

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Kyoto University: Kyoto University
Nanyang Technological University

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Published: 27 December 2017

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ICIT 2017: 2017 International Conference on Information Technology

December 27 - 29, 2017

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Wang YChu CLan T(2022)Sentiment Classification of Educational Tourism Reviews Based on Parallel CNN and LSTM with Attention MechanismMobile Information Systems10.1155/2022/61774272022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/6177427
Chen GXie CLu QHuang YMiao LPeng Z(2022)TopsBot: Facilitating Mental Health Peer Support with a Topic-based Writing Assistant in Instant Messaging AppsProceedings of the Tenth International Symposium of Chinese CHI10.1145/3565698.3565794(256-261)Online publication date: 22-Oct-2022
https://dl.acm.org/doi/10.1145/3565698.3565794
Lee CIo HTang H(2022)Sentiments and perceptions after a privacy breach incidentCogent Business & Management10.1080/23311975.2022.20500189:1Online publication date: 21-Mar-2022
https://doi.org/10.1080/23311975.2022.2050018
Wangzhe Zhang ZTao QYe NXu R(2022)Social Relations Under the Covid-19 Epidemic: Government Policies, Media Statements and Public MoodsAI and Analytics for Public Health10.1007/978-3-030-75166-1_27(367-379)Online publication date: 3-Jan-2022
https://doi.org/10.1007/978-3-030-75166-1_27
Alexandridis GVoutos YMylonas PCaridakis G(2020)A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy TrendsAlgorithms10.3390/a1303005913:3(59)Online publication date: 4-Mar-2020
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Io HLee C(2020)Social Media Comments about Hotel RobotsJournal of China Tourism Research10.1080/19388160.2020.176978516:4(606-625)Online publication date: 5-Jun-2020
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Io HLee C(2019)What are the Sentiments About the Autonomous Delivery Robots?2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)10.1109/IEEM44572.2019.8978921(50-53)Online publication date: Dec-2019
https://doi.org/10.1109/IEEM44572.2019.8978921

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Multi-aspect Blog sentiment analysis based on LDA topic model and hownet lexicon

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