Towards a big data framework for analyzing social media content
作者：
Highlights：
• 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.
摘要
•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.
论文关键词：Big data framework,Machine learning model,Social media analytics,Hospitality,Yelp
论文评审过程：Received 15 May 2018, Revised 13 September 2018, Accepted 13 September 2018, Available online 24 September 2018, Version of Record 24 September 2018.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2018.09.003
