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Advisor(s)
Abstract(s)
Purpose: Sentiment Analysis (SA) or Opinion Mining (OM) is the field of study for a broader topic of Natural Language Processing. SA seeks to understand people's opinions, feelings, assessments, attitudes and emotions through text to generate knowledge and relevant information on a particular subject, in the business world with a greater focus on understanding the evaluation of products. We can often resume to an interpretation of attitude behind the text whether it is positive, negative or neutral. The growing importance of SA coincides with the growth of social networks, opinions, criticism, forum discussions, blogs, among others. With this exponential evolution of data has arisen the need to apply SA in almost all social and commercial domains, because opinions are key in almost all activities and are one of the influencing factors in human and social behaviors, beliefs
and perceptions of our own choices. As the opinion is one of the main influencing factors in the people's choice has made the spectrum of analysis broader for organizations making this a very relevant topic these days.
This paper revealed that although there some advances for algorithms, techniques and frameworks to help SA implementations there is still a gap towards identifying benefits for business applications. The need for a systematic review arises from the requirement to summarize all relevant information about application and creation of value for SA implementations in organizations. Design/methodology/approach: Include the main method(s) used for the research. In order to draw a general conclusion about this phenomenon we will evaluate individual studies that could help us understand the main features of this field. Findings: In summary, we learned that although there some advances for algorithms, techniques and frameworks to help SA implementations there is still a gap towards identifying benefits for business applications. We believe that the results of our systematic review will help to advance future studies to search for these gaps. Originality/value: Summarize all relevant information about application and creation of value for SA implementations in organizations
Description
Comunicação em conferência internacional
Keywords
Sentiment analysis Opinion mining Text mining Case study Application
Citation
Mata, P. N., Mata, M. N. & Martins, J. (2020). Sentiment analysis: A literature review. 1st International Conference on Management, Technology and Tourism: Social Value Creation – ICOMTT2020 (p.65). Instituto Politécnico de Santarém, Santarém, 6-7 February 2020.