Glossary
- Sentiment Analysis:
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The automatic analysis of opinions, sentiments, and subjectivity in text. It aims to determine the sentiment associated with a topic or context
- Online Learning:
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Online learning algorithms update the learning model incrementally whenever they receive new data. They are usually highly efficient and scalable
- Multitask Learning:
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The problem of jointly solving several related machine learning tasks by leveraging the commonality among tasks
Definition
Twitter microblog sentiment analysis aims to identify and detect the sentiments or emotions present in a microblog post. The techniques developed for microblog sentiment analysis can also be applied to classify social media data in a real-time manner.
Introduction
Microblogs, such as Twitter and Facebook status updates, allow users to publish short snippets of text online. Compared to blogs, microblogs are typically shorter in length but updated much more...
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Li, G., Hai, Z., Zhao, P., Chang, K., Hoi, S.C.H. (2018). Twitter Microblog Sentiment Analysis. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_265
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DOI: https://doi.org/10.1007/978-1-4939-7131-2_265
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