Name
Abstract | ||
|---|---|---|
•The authors present a two-stages framework for data analysis of social media content.•Data preparation stage takes raw data and continues to build a machine learning model.•Big data stage takes advantage of the machine learning model built in first stage.•Data analysis allows to determine sentiment score and the main terms in user reviews.•Multi-Layer Perceptron was the best classifier tested for binary classification. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ijinfomgt.2018.09.003 | International Journal of Information Management |
Keywords | Field | DocType |
Big data framework,Machine learning model,Social media analytics,Hospitality,Yelp | Data science,Social media,Binary classification,Subjectivity,Raw data,Knowledge management,Engineering,Data preparation,Big data | Journal |
Volume | ISSN | Citations |
44 | 0268-4012 | 4 |
PageRank | References | Authors |
0.42 | 29 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Luis Jimenez-Marquez | 1 | 4 | 0.42 |
| Israel González-Carrasco | 2 | 109 | 6.79 |
| José Luis López Cuadrado | 3 | 24 | 4.20 |
| Belén Ruíz-mezcua | 4 | 66 | 9.88 |