Research Article

Uncovering Cybercrimes in Social Media through Natural Language Processing

Table 4

Sentiment analysis results for Scenario 1 using SLP algorithm versus Vader model.

Sentiment analysis algorithmClusterPolaritySubjectivity (mean)Number of tweetsNumber of accounts
Negative (%)Neutral (%)Positive (%)

SLP algorithm (TextBlob library)129.842.127.90.29368302
213.659.127.20.208873
317.357.125.50.22196167
435.522.242.10.43453362

Vader model (VaderSentiment library)149.423.327.1368302
218.159.022.78873
340.836.222.9196167
454.88.136.6453362