Algorithm for Detecting Opinion Polarity in Laptop and Restaurant Domains
Knowing the state of public opinion regarding a product, the reputation of a celebrity or the assessment of a political candidate is very useful in today’s world. For example, in the particular case of a company, analyzing the opinions of its customers is very beneficial, since it allows to know the...
| Authors: | , , , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2020 |
| Country: | Colombia |
| Institution: | Corporación Universidad de la Costa |
| Repository: | Repositorio REDICUC |
| Language: | English |
| OAI Identifier: | oai:repositorio.cuc.edu.co:11323/10754 |
| Online Access: | https://hdl.handle.net/11323/10754 https://repositorio.cuc.edu.co/ |
| Access Level: | Open access |
| Keyword: | Polarity Latent semantic analysis Surface feature Parse feature |
| Summary: | Knowing the state of public opinion regarding a product, the reputation of a celebrity or the assessment of a political candidate is very useful in today’s world. For example, in the particular case of a company, analyzing the opinions of its customers is very beneficial, since it allows to know the disconformities and, from these, to define new strategies that guarantee to obtain a greater degree of satisfaction in the users, as well as a greater success within the market. This article aims to develop a method for classifying the polarity of product aspects. |
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