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Impact of Sarcasm in Sentiment Analysis Methodology
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Author(s): Priscilla Souza Silva (Federal University of South and Southeast of Pará, Brazil), Haroldo Barroso (Federal University of Sul and Sudeste of Pará, Brazil), Leila Weitzel (Fluminense Federal University, Brazil), Dilcielly Almeida Ribeiro (Universidade Federal do Sul e Sudeste do Pará, Brazil)and José Santos (Federal University of Sul and Sudeste of Pará, Brazil)
Copyright: 2018
Pages: 21
Source title:
Social Network Analytics for Contemporary Business Organizations
Source Author(s)/Editor(s): Himani Bansal (Jaypee Institute of Information Technology, India), Gulshan Shrivastava (National Institute of Technology Patna, India), Gia Nhu Nguyen (Duy Tan University, Vietnam)and Loredana-Mihaela Stanciu (University Timisoara, Romania)
DOI: 10.4018/978-1-5225-5097-6.ch005
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Abstract
Sentiment of analysis is a study area applied to numerous environments (financial, political, academic, business, and communication) whose purpose is to search for messages posted on social media, and through these to identify and classify people's opinions about particular item as positive or negative. Rating the sentiment expressed in opinionated messages is such an important task that currently companies invest a lot of money in collecting this type of information and the development of methods and techniques to classify the sentiment that they express, so that they can use the results as useful information in preparing marketing and sales strategies efficiently. However, one of the major problems facing the feelings of analysis is the difficulty of methods to properly analyze messages with sarcastic and/or ironic content, as these linguistic phenomena have the characteristic of transforming the polarity or meaning of a positive or negative statement into its opposite.
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