- Title
- A literature review on sentiment analysis and its foundational technologies
- Creator
- Karmaniolos, Stavros; Skinner, Geoff
- Relation
- 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). Proceedings of 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) (Singapore 23-25 February, 2019) p. 91-95
- Publisher Link
- http://dx.doi.org/10.1109/CCOMS.2019.8821771
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2019
- Description
- Sentiment Analysis is the computational treatment of opinion or sentiment expressed in a source of data. A cross-section of Natural Language Processing and Machine Learning, Sentiment Analysis applications deal with opinions as a tangible commodity often used to leverage big data for the sake of gaining a competitive advantage. To date it appears Sentiment Analysis has no formal frameworks or seminal texts that one can turn to for an accessible but comprehensive look into the field. This literature review based paper addresses this absence by providing a technical summary of common modern frameworks, the taxonomy of its parent fields and a brief analysis of related research dating back to the early 1990s.
- Subject
- sentiment analysis; support vector machines; data mining; feature extraction; classification algorithms; machine learning
- Identifier
- http://hdl.handle.net/1959.13/1473234
- Identifier
- uon:48982
- Identifier
- ISBN:9781728113227
- Language
- eng
- Reviewed
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