A Step Further in Sentiment Analysis Application in Marketing Decision-Making

2019 ◽  
pp. 211-221
Author(s):  
Erick Kauffmann ◽  
David Gil ◽  
Jesús Peral ◽  
Antonio Ferrández ◽  
Ricardo Sellers
Keyword(s):  
Decision Making ◽  
Sentiment Analysis ◽  
Marketing Decision ◽  
Analysis Application

A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making

2020 ◽  
Vol 90 ◽  
pp. 523-537 ◽  
Author(s):  
Erick Kauffmann ◽  
Jesús Peral ◽  
David Gil ◽  
Antonio Ferrández ◽  
Ricardo Sellers ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Big Data ◽  
Sentiment Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Marketing Decision

scholarly journals SentiProdBR: Building Domain-Specific Sentiment Lexicons for the Portuguese Language

2021 ◽  
Author(s):  
Tiago de Melo
Keyword(s):  
Decision Making ◽  
Sentiment Analysis ◽  
Online Reviews ◽  
Bayes Theorem ◽  
Experimental Results ◽  
Product Categories ◽  
Domain Specific ◽  
Alternative Approaches ◽  
The Web

Online reviews are readily available on the Web and widely used for decision-making. However, only a few studies on Portuguese sentiment analysis are reported due to the lack of resources including domain-specific sentiment lexical collections. In this paper, we present an effective methodology using probabilities of the Bayes’ Theorem for building a set of lexicons, called SentiProdBR, for 10 different product categories for the Portuguese language. Experimental results indicate that our methodology significantly outperforms several alternative approaches of building domain-specific sentiment lexicons.

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