Name
Abstract | ||
|---|---|---|
The use of the web as a universal communication platform generates large volumes of data (Big data), which in many cases, need to be processed so that they can become useful knowledge in face of the sceptics who have doubts about the credibility of such information. The use of web data that comes from educational contexts needs to be addressed, since that large amount of unstructured information is not being valued, losing valuable information that can be used. To solve this problem, we propose the use of data mining techniques such as sentiment analysis to validate the information that comes from the educational platforms. The objective of this research is to propose a methodology that allows the user to apply sentiment analysis in a simple way, because although some researchers have done it, very few do with data in the educational context. The results obtained prove that the proposal can be used in similar cases. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3274250.3274263 | ICoMS |
Keywords | DocType | Citations |
Data mining,Opinion mining,Text mining,Method,Sentiment analysis,Educational data | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Myriam Peñafiel | 1 | 0 | 0.34 |
| Stefanie Vásquez | 2 | 0 | 0.34 |
| Diego Vásquez | 3 | 0 | 0.34 |
| Juan Zaldumbide | 4 | 0 | 0.34 |
| Sergio Luján-mora | 5 | 424 | 47.92 |