Figure 3. Examples of tweets classified as ridicule.

Slides:



Advertisements
Similar presentations
From: A Regularist Approach to Mechanistic Type-Level Explanation
Advertisements

From: An open day in the metric space
Figure 5. The relationship between hepatic lymphocyte subsets, hepatosteatosis and perisinusoidal fibrosis. Hepatosteatosis was associated with ( a )
Fig. 3. Plot of overall survival by adjuvant therapy for patient subgroups. (A) Patients with M0 disease (n = 411). (B) Patients receiving 36 Gy craniospinal.
Fig. 1 Flow chart of the COBRA-light trial and its extension study
Figure 1 The spatial and temporal distribution of diarrhoea rates
From: Global Banking: Recent Developments and Insights from Research*
Figure 1. Flow diagram of participants recruited into the study.
Fig. 1 Graphical representation
Figure 2. CONSORT flow diagram.
Figure 1. Period–cohort diagram.
From: Political Leadership and Power Redistribution
Figure 1. The Modified Dual Pathway Model.
Figure 1. Disposition of study participants, by group. Data are no
Figure 1. Structural Equation Model: Effects of Valence Framing on Perceived Truth of Statements and Source Trustworthiness. Standardized path-coefficients.
Table 5 Village Characteristics Based on the Census of India 1991, by Mandate during which a First SHG was Created in the Village From: Public Good Provision.
Figure 1. Programme provisions, eligibility, evaluation period and geographical coverage of programme over time From: Impact evaluation of free delivery.
Figure 3. Average response time by signal-to-noise ratio (SNR), group, and condition. Error bars represent standard error. Response time was measured as.
Figure 1 Theoretical link between welfare state policy and fear of crime From: Social Insecurities and Fear of Crime: A Cross-National Study on the Impact.
Figure 1. Mean recalled time (days) since the start of the last quit attempt by use of stop-smoking medications (SSM) and Heaviness of Smoking Index (HSI)
Figure 1. Shiga toxin–producing Escherichia coli (STEC) isolates by method of initial detection and STEC serotype, Connecticut, 2000–2009. From: Ten-Year.
pSS: primary SS; Scl: scleroderma.
Figure 1. Conceptual framework.
Source: compiled from various sources.
Figure 1. Standardized coefficients for the SEM group model for heterosexual males. Latent constructs are shown in ellipses, and observed variables are.
Figure 1. Logos appearing in the choice experiment
Figure 1. Selection of papers.
Fig. 1 Flow chart of study selection
Figure 1. Least square means of the swimming speed procedures, over a 6-month time period (24–30 months). Longevity was significantly predicted by higher.
Figure 1. Conceptual model of well-being related to involvement in theatre. From: Theatre Involvement and Well-Being, Age Differences, and Lessons From.
Figure 1. Bevo I, ca. 1920, photographer unknown
Figure 1. VoC conceptual framework linking employment mobility and welfare production regimes From: Complexity in Employment Life Courses in Europe in.
Figure 1. Orthodontic set-up and location of LLLT or placebo-laser
Fig. 1 Flow of ascertainment of cases with incident childhood IgA vasculitis reported by four sources From: Incidence of IgA vasculitis in children estimated.
Fig. 1. Geographic locations of Shenzhen and Dongguan
From: Unmasking Masks in Makkah: Preventing Influenza at Hajj
Figure 1. Hepatitis B surface antigen (HBsAg) testing uptake and results among women delivering at Bairo Pite Clinic in Dili, Timor-Leste. From: Prevalence.
Fig. 1 Proportion of study participants with ideal Cardiovascular Health Metrics by self-rated health. Ideal category of Cardiovascular Health Metrics.
Fig. 1. (A) Final distribution of S
From: Where do we go from here
Figure 1. Overall survival of patients receiving alternative medicine (solid lines) vs conventional cancer treatment (dashed lines). Overall survival of.
Example 14. Schubert, Quartet in G Major, D
Figure 1. Relationship between Log Transfers and Age of Eldest HH Member(a) Bandwidth 0.05(b) Bandwidth 0.1(c) Bandwidth 0.5 From: The Effect of a Transfer.
Figure 1. Single-Tree Model and BART Fits to Simulated Data.
Fig. 1 Selection of patients
Figure 1 Study flowchart.
Fig. 1 Flow diagram of patient selection and study design.
Figure 1 Flow of data processing
Figure 1. Frailty components in mice vs humans.
From: Estimating the Location of World Wheat Price Discovery
Figure 3. Hypothalamic–Pituitary–Adrenal (HPA)-axis functioning moderates crime exposure: regions of significance on X (crime). The lines represent two.
Figure 1. Time of initiation of therapeutic hypothermia according to who initiated it. Note the logarithmic scaling of the vertical axis. From: Initiation.
Figure 1 Percentage and number of arrivals with YFV check per entry location in Tanzania. Numbers in chart indicate number of arrivals per entry location.
NOTE.—Error bars in all figures represent standard errors of the means. From: So Close I Can Almost Sense It: The Interplay between Sensory Imagery and.
Figure 1. Percentage of trainees is represented on the y-axis for each competency/knowledge item represented in the x-axis. Only Poor/Fair (P/F) ratings.
Figure 1. Impact ratings for prospective memory lapses for younger (~age 30), middle-age (~age 50), and older (~age 65) adults. From: Daily Memory Lapses.
Figure 6. RRs for clinical cure rates stratified by different diseases
Figure 1. Progression-free survival and overall survival for FL/DLBCL patients. From: Clinicobiological features and prognostic impact of diffuse large.
Figure 1. Percentage of participants in each group (holocaust survivors, prewar immigrants, and postwar immigrants) by the main coded strategies. From:
Figure 5. Tungiasis: a 21-year-old woman returned from Peru with painful nodules on her toes. From: Illness in Travelers Returned From Brazil: The GeoSentinel.
Figure 2 Map of traveller arrivals to Tanzania and performed checks (arrivals with checks/all arrivals). Change: change of aircraft, no change: no change.
Figure 3. Changes from baseline in activated CD4+ T cells (% CD4+CD25+) during the 52-week intervention period in the.
Figure 1. The cell-lineage specification of the early mouse embryo
Fig. 5 Detailed classifier results for tweets (a) J48, (b) SVM, and (c) NB From: A sentiment analysis system for social media using machine learning techniques:
Fig. 1 Languages used for SA
NOTE.—ERROR BARS ARE STANDARD ERRORS.
Figure 1 Flow diagram detailing the systematic review process.
Figure 1 Relationships between pair indices of dance performance (joint entropy or mutual information) and the past ... Figure 1 Relationships between.
Figure 1: Yearly net investment flows from Japan
Figure 1: Trade shares of South Korea's major trading partners (% of South Korea's total trade in goods) Figure 1: Trade shares of South Korea's major.
Presentation transcript:

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):742-751. doi:10.1093/geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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):742-751. doi:10.1093/geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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):742-751. doi:10.1093/geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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. 21.13% 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):742-751. doi:10.1093/geronb/gbx014 J Gerontol B Psychol Sci Soc Sci | © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.