Abstract
It is a widely accepted truth there are great values embedded in the opinion and sentiment expressed by users on social media platforms. Nowadays, it is quite common for researchers or engineers to adopt opinion mining and sentiment analysis techniques to extract enriched emotional information from online text content. However, given the characteristics of social media, such as dynamic, short, informal and context dependent, applying general opinion mining and sentiment analysis techniques originally designed for static long text corpora would lead to serious bias. In many applications, even research that not specialized in opinion mining and sentiment analysis, this problem is ignored unintentionally or unintentionally. Such ignorance may contribute the failure of some designs or unexplainable results. In this paper, we summarized these challenges in social media sentiment analysis. Some potential solutions for these challenges are also discussed. Finally, we also introduced several state-of-the-art techniques in social media sentiment analysis.
Original language | English |
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Title of host publication | HCI in Business, Government, and Organizations : 5th International Conference, HCIBGO 2018 Held as Part of HCI International 2018 Las Vegas, NV, USA, July 15–20, 2018 Proceedings |
Editors | Fiona Fui-Hoon Nah, Bo Sophia Xiao |
Number of pages | 13 |
Place of Publication | Cham |
Publisher | Springer |
Publication date | 2018 |
Pages | 536-548 |
ISBN (Print) | 9783319917153 |
ISBN (Electronic) | 9783319917160 |
DOIs | |
Publication status | Published - 2018 |
Event | 5th International Conference on HCI in Business, Government and Organizations. HCIBGO 2018 - Las Vegas, United States Duration: 15 Jul 2018 → 20 Jul 2018 Conference number: 5 http://2018.hci.international/hcibgo |
Conference
Conference | 5th International Conference on HCI in Business, Government and Organizations. HCIBGO 2018 |
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Number | 5 |
Country/Territory | United States |
City | Las Vegas |
Period | 15/07/2018 → 20/07/2018 |
Other | Held as Part of HCI International 2018 |
Internet address |
Series | Lecture Notes in Computer Science |
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Volume | 10923 |
ISSN | 0302-9743 |
Keywords
- Opinion mining and sentiment analysis
- Social media
- Business applications