Review Article

Topic Detection and Tracking Techniques on Twitter: A Systematic Review

Table 1

Twitter topic/event detection/tracking related studies.

ReferenceDetection methodDetection typeDetection taskData collection
Dataset
Detection task
EventTopicREDNED

[12]Naïve Bayes classifierTwitter API, handpicked usersHot news detection
[13]BScore based BOW clusteringTwitter API (offline)Disaster and story detection
[14]BOW distance similarityTwitter APIFSD (first story detection)
[15]BNgram and TF-IDFOffline datasetsTopic detection
[16]Cross checking via WikipediaTwitter API, WikipediaHot news detection
[17]Formal concept analysisRepLab 2013 datasetTopic detection
[18]FPM (frequent pattern mining)Twitter APIEvent detection
[19]FPMSuper Tuesday/FA Cup/US electionsTopic detection
[20]FPM (hierarchical clustering)Topic dataset from CLEar systemTopic detection
[21]FPM (TF-IDF & n-gram improved)Twitter APIEvent detection
[22]GPU improved TF-IDF approximationOffline datasetTopic detection
[23]BOW similarityOffline datasetTopic detection
[24]Word embeddingSemEval datasetTwitter sentiment classification
[25]Spatiotemporal detectionOffline datasetTargeted-domain event detection
[26]Clustering of temporal & spatial featuresTwitter APIEvent detection
[27]Geographical regularity estimationTwitter APIGeosocial event detection
[28]BOW clusteringTwitter APIEvent detection & analysis
[29]Probabilistic modelingTwitter APIEarly disaster detection
[30]FPMOffline datasetEvent detection
[31]Heartbeat graphSuper Tuesday/FA Cup/US electionsTopic/event detection
[32]Enhanced heartbeat graphSuper Tuesday/FA Cup/US electionsTopic/event detection
[33]Sentence BERT/streaming graph miningSuper Tuesday/FA Cup/US electionsTopic/event detection
[34]Universal sentence encoderCOVID-19 datasetCOVID-19 topics
[35]TF-IDF, CCA, and BTMTwitter APITrend ranking
[36]LDA, USE, and SBERTCOVID-19 datasetCOVID-19 topics
[37]Autoencoder and fuzzy c-meansBeritaTrend ranking