Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching -Learning Process in the Classroom Using a Corpus of Subjectivity
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| Format: | Artículo científico |
| Language: | en |
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International Journal of Combinatorial Optimization Problems and Informatics
2016
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| _version_ | 1876436758225223680 |
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| author | Guadalupe Gutiérrez Esparza |
| author_facet | Guadalupe Gutiérrez Esparza |
| contents | Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching -Learning Process in the Classroom Using a Corpus of Subjectivity Guadalupe Gutiérrez Esparza Alejandro Padilla Díaz Juana Canul - Reich Carlos Alejandro De - Luna Julio Ponce Computación Twitter Naive Bayes Sentiment Analysis Corpus of Subjectivity In this paper,we propose a sentiment analysis model for the assessment of teacher performance in the classroom by tweets written by a pilot group of college students. Naive Bayes (NB) is the technique to be applied to classify tweets based on the polar express emotion (positive, negative and neutral), to carry out this process, a dataset fits adding distinctive terms of context as possible features to support the classification process. 2016 artículo científico 2007-1558 https://www.redalyc.org/articulo.oa?id=265246006004 en http://www.redalyc.org/revista.oa?id=2652 International Journal of Combinatorial Optimization Problems and Informatics application/pdf International Journal of Combinatorial Optimization Problems and Informatics International Journal of Combinatorial Optimization Problems and Informatics (México) Num.2 Vol.7 |
| format | Artículo científico |
| id | redalyc_265246006004 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | International Journal of Combinatorial Optimization Problems and Informatics |
| spellingShingle | Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching -Learning Process in the Classroom Using a Corpus of Subjectivity Guadalupe Gutiérrez Esparza Computación Naive Bayes Sentiment Analysis Corpus of Subjectivity Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching -Learning Process in the Classroom Using a Corpus of Subjectivity Guadalupe Gutiérrez Esparza Alejandro Padilla Díaz Juana Canul - Reich Carlos Alejandro De - Luna Julio Ponce Computación Twitter Naive Bayes Sentiment Analysis Corpus of Subjectivity In this paper,we propose a sentiment analysis model for the assessment of teacher performance in the classroom by tweets written by a pilot group of college students. Naive Bayes (NB) is the technique to be applied to classify tweets based on the polar express emotion (positive, negative and neutral), to carry out this process, a dataset fits adding distinctive terms of context as possible features to support the classification process. 2016 artículo científico 2007-1558 https://www.redalyc.org/articulo.oa?id=265246006004 en http://www.redalyc.org/revista.oa?id=2652 International Journal of Combinatorial Optimization Problems and Informatics application/pdf International Journal of Combinatorial Optimization Problems and Informatics International Journal of Combinatorial Optimization Problems and Informatics (México) Num.2 Vol.7 |
| title | Proposal of a Sentiment Analysis Model in Tweets for Improvement of the Teaching -Learning Process in the Classroom Using a Corpus of Subjectivity |
| topic | Computación Naive Bayes Sentiment Analysis Corpus of Subjectivity |
| url | https://www.redalyc.org/articulo.oa?id=265246006004 |