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Basic Research

Methadone and suboxone® mentions on twitter: thematic and sentiment analysis

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Pages 982-991 | Received 11 Nov 2020, Accepted 17 Feb 2021, Published online: 06 Apr 2021

Figures & data

Table 1. Description of themes associated with tweets mentioning suboxone® and methadone.

Table 2. Analysis of themes associated with tweets mentioning suboxone® and methadone.

Table 3. Subthemes of tweets mentioning methadone.

Table 4. Subthemes of tweets mentioning suboxone®.

Figure 1. Distribution of user attitude among Tweets mentioning both “methadone” and “suboxone”.

Figure 1. Distribution of user attitude among Tweets mentioning both “methadone” and “suboxone”.

Figure 2. Topic terms discovered via latent Dirichlet allocation from unlabeled data and their possible mappings to manually discovered themes (left: methadone; right: suboxone). Misuse/diversion and Greed/corruption only had possible mappings for suboxone, and they are shown in the bottom left of the figure. Text size indicates strength of association with topic.

Figure 2. Topic terms discovered via latent Dirichlet allocation from unlabeled data and their possible mappings to manually discovered themes (left: methadone; right: suboxone). Misuse/diversion and Greed/corruption only had possible mappings for suboxone, and they are shown in the bottom left of the figure. Text size indicates strength of association with topic.

Figure 3. Distributions of automatically detected sentiment polarities for tweets mentioning methadone and Suboxone® (top), and sentiment polarities scaled by subjectivity scores (bottom).

Figure 3. Distributions of automatically detected sentiment polarities for tweets mentioning methadone and Suboxone® (top), and sentiment polarities scaled by subjectivity scores (bottom).