Research Article

Monitoring the Emotional Response to the COVID-19 Pandemic Using Sentiment Analysis: A Case Study in Mexico

Table 1

Summary of massively distributed systems for performing sentiment analysis over large volumes of tweets.

ReferenceTechBatch/streamFeaturesComments

Victor and Lijo, 2019 [13]Hadoop & SparkBothHBase interface
Sathya et al., 2019 [14]HadoopBatchClassifier selection, preprocessing, sarcasm, VROpen source, needs self-hosting
Bhuvaneswari et al., 2019 [2]Hadoop & KafkaBothUses flume
Cenni et al., 2018 [7]HadoopBatchAggregation of 4 projects
Sehgal and Agarwal, 2016 [15]HadoopBatch
Kumar and Kala, 2016 [16]MahoutBatchLess complex to build, experiments made on a single node
Kumamoto, Wada, and Suzuki, 2014 [17]BatchGraphsNo details
Khuc et al., 2012 [18]HadoopBatchHBase interfaceNice UI for data cleanup
Marcus et al., 2011 [19]HadoopBatchPeak detection, subevent selection
This studyMicroservicesBothAutoscaling, easy to consume, cloud-nativeUses remote hosting