scholarly journals A Proposal for New Evaluation Metrics and Result Visualization Technique for Sentiment Analysis Tasks

2013 ◽  
pp. 41-52 ◽  
Author(s):  
Francisco José Valverde-Albacete ◽  
Jorge Carrillo-de-Albornoz ◽  
Carmen Peláez-Moreno
Keyword(s):  
Sentiment Analysis ◽  
Evaluation Metrics ◽  
Visualization Technique

Introduction to Sentiment Analysis Covering Basics, Tools, Evaluation Metrics, Challenges, and Applications

2021 ◽  
pp. 249-277
Author(s):  
Akrati Saxena ◽  
Harita Reddy ◽  
Pratishtha Saxena
Keyword(s):  
Sentiment Analysis ◽  
Evaluation Metrics

Study of Sentiment of Governor's Election Opinion in 2018

2018 ◽  
pp. 231-238
Author(s):  
Agung Eddy Suryo Saputro ◽  
Khairil Anwar Notodiputro ◽  
Indahwati A
Keyword(s):  
Sentiment Analysis ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Addition Method ◽  
Sentiment Mining ◽  
Positive Sentiment ◽  
Trending Topics ◽  
Election News

In 2018, Indonesia implemented a Governor's Election which included 17 provinces. For several months before the Election, news and opinions regarding the Governor's Election were often trending topics on Twitter. This study aims to describe the results of sentiment mining and determine the best method for predicting sentiment classes. Sentiment mining is based on Lexicon. While the methods used for sentiment analysis are Naive Bayes and C5.0. The results showed that the percentage of positive sentiment in 17 provinces was greater than the negative and neutral sentiments. In addition, method C5.0 produces a better prediction than Naive Bayes.

An historical analysis of species references in American English

Corpora ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 327-349
Author(s):  
Craig Frayne
Keyword(s):  
Environmental Change ◽  
Sentiment Analysis ◽  
Quantitative Methods ◽  
English Language ◽  
Language Use ◽  
American English ◽  
Historical Analysis ◽  
The Past ◽  
Corpus Studies ◽  
Google Books

This study uses the two largest available American English language corpora, Google Books and the Corpus of Historical American English (coha), to investigate relations between ecology and language. The paper introduces ecolinguistics as a promising theme for corpus research. While some previous ecolinguistic research has used corpus approaches, there is a case to be made for quantitative methods that draw on larger datasets. Building on other corpus studies that have made connections between language use and environmental change, this paper investigates whether linguistic references to other species have changed in the past two centuries and, if so, how. The methodology consists of two main parts: an examination of the frequency of common names of species followed by aspect-level sentiment analysis of concordance lines. Results point to both opportunities and challenges associated with applying corpus methods to ecolinguistc research.

Visualization Technique of Smart Grid Simulator

2014 ◽  
Vol 134 (10) ◽  
pp. 1458-1463
Author(s):  
Tatsuki Inuzuka ◽  
Toshiyuki Miyake
Keyword(s):  
Smart Grid ◽  
Visualization Technique
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