Uncovering Cybercrimes in Social Media through Natural Language Processing

Table 7

Sentiment analysis results for Scenario 2 using SLP Algorithm versus Vader model.

Sentiment analysis algorithm	Cluster	Polarity			Subjectivity (mean)	Number of tweets	Number of accounts
		Negative (%)	Neutral (%)	Positive (%)
SLP algorithm (TextBlob library)	1	13.4	65.8	20.7	0.19	82	81
	2	39.7	12.8	47.4	0.42	506	452
	3	32.9	21.4	45.6	0.37	410	355
	4	27.2	46.8	25.8	0.28	209	201
Vader model (VaderSentiment library)	1	20.7	52.4	26.8	—	82	81
	2	55.1	4.9	39.9	—	506	452
	3	41.7	14.6	43.6	—	410	355
	4	29.1	38.7	32.0	—	209	201