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Figure 3. Examples of tweets classified as ridicule.

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Presentation on theme: "Figure 3. Examples of tweets classified as ridicule."— Presentation transcript:

1 Figure 3. Examples of tweets classified as ridicule.
From: Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer’s Disease Stigma on Twitter J Gerontol B Psychol Sci Soc Sci. 2017;72(5): doi: /geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please

2 Figure 2. Example of a tweet that is informative (A) and a tweet that is a joke and ridiculing (B).
From: Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer’s Disease Stigma on Twitter J Gerontol B Psychol Sci Soc Sci. 2017;72(5): doi: /geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please

3 Figure 1. Example of web interface used in manual coding.
From: Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer’s Disease Stigma on Twitter J Gerontol B Psychol Sci Soc Sci. 2017;72(5): doi: /geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please

4 Figure 4. Percentage of machine coded tweets representing each dimension by ridicule. Note. Percentages for each dimension are of a total of N = 6,583 ridicule tweets for the light bars and of a total of N = 31,150 overall tweets for the dark bars % of all tweets were classified as ridicule by the machine learning model. From: Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer’s Disease Stigma on Twitter J Gerontol B Psychol Sci Soc Sci. 2017;72(5): doi: /geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please

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