Topic classification and sentiment analysis for Vietnamese education survey system

2016 ◽  
Vol 6 (3) ◽  
Keyword(s):  
Sentiment Analysis ◽  
Survey System

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.

Finding Points of Reform in the Fact-finding Survey System

2020 ◽  
Vol 42 (1) ◽  
pp. 307-335
Author(s):  
Sunae Kim
Keyword(s):  
Survey System ◽  
Fact Finding

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.

Evaluating Large-Scale STEM Outreach Efficacy with a Consistent Theme: Thermodynamics for Elementary School Students

2018 ◽  
Author(s):  
Joseph DeWilde ◽  
Esha Rangnekar ◽  
Jeffrey Ting ◽  
Joseph Franek ◽  
Frank S. Bates ◽  
...  
Keyword(s):  
Elementary School ◽  
Learning Outcomes ◽  
Elementary School Students ◽  
Large Scale ◽  
College Education ◽  
School Students ◽  
Central Concept ◽  
Specific Goal ◽  
Survey System ◽  
Society Today

A biannual chemistry demonstration-based show named “Energy and U” was created to extend the general outreach themes of STEM fields and a college education with a specific goal: to teach the First Law of Thermodynamics to elementary school students. Energy is a central concept in chemical education, most STEM disciplines, and it is the concept at the foundation of many of the greatest challenges faced by society today. The effectiveness of the program was analyzed using a clicker survey system. This study provides one of the first examples of incorporating real-time feedback into large- scale chemistry-based outreach events for elementary school students in order to quantify and better understand the broader impact and learning outcomes.

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