savmontano - Tweet Data Analysis
Tweets Analysis - Keyword: @savmontano
Resumen
Tweets covering
8 days
Latest tweet was on
2023-02-20
Earliest tweet was on
2023-02-11
Total number of tweets analysed
7
Average age of authors' accounts
3 years
Resumen
The 2009 H1N1 influenza virus created a pandemic across the world with over 200,000 people estimated to have died from it. The virus was able to spread rapidly due to its high rates of transmission from person to person. Risk factors of the virus included obesity, advanced age, and pre-existing medical conditions such as asthma and diabetes. Vaccinations and antiviral medications such as Tamiflu were used to counteract the virus.
Modelado de Temas
- Politics: discussions of political figures, policies, and events
- Social Media: discussion of platforms such as Twitter, Facebook, and Instagram
- Business: discussion of businesses, products, trends, and strategies
- Education: discussion of schools, universities, and learning systems
- Culture: discussion of cultural values, attitudes, and customs
Análisis de Sentimientos
Análisis de Tendencias
- School shootings
- Gun control
- Gun safety
- Gun violence
- Firearm possession
Descargo de responsabilidad: El análisis de texto de twtdata.com utiliza OpenAI y no representa las opiniones de twtdata.com o sus afiliados. El análisis es solo para fines informativos y no constituye un respaldo de ninguna opinión.
Tipos de Tweets
Number of Retweets
7
100% del total
Number of Original tweets
0
0% del total
Number of tweets that were Quotes
0
0% del total
Number of tweets that were Replies
0
0% del total
Number of tweets that contain Hashtags
0
0% del total
Number of tweets that contain Mentions
7
100% del total
Dispositivos Utilizados para Tuitear
Top 5 Dispositivos
| Source | Count |
|---|---|
| Twitter Web App | 4 |
| Twitter for iPhone | 2 |
| Twitter for Android | 1 |
Distribución de Dispositivos
Top 10 Cuentas por Seguidores
| Username | Name | Bio | Followers count |
|---|---|---|---|
| janelliexbabyx3 | Janelle Elizabeth | sicker than ur average • insta: @jmaddzx3 | 2 600 |
| patrici38253735 | Patricia | - | 528 |
| marya_medina_ | Marya | - | 162 |
| peterman61anita | Anita | - | 155 |
| savannahv999 | $av 9 9 9 | a love letter to you 💌 | 134 |
| kathy_ellzey17 | Kathy | - | 80 |
| GodwinP45216248 | Godwin Peter | - | 28 |
Top 10 Cuentas por Seguidos
| Username | Name | Bio | Followers count |
|---|---|---|---|
| patrici38253735 | Patricia | - | 3 209 |
| peterman61anita | Anita | - | 3 039 |
| kathy_ellzey17 | Kathy | - | 1 984 |
| marya_medina_ | Marya | - | 1 659 |
| janelliexbabyx3 | Janelle Elizabeth | sicker than ur average • insta: @jmaddzx3 | 1 370 |
| savannahv999 | $av 9 9 9 | a love letter to you 💌 | 411 |
| GodwinP45216248 | Godwin Peter | - | 404 |
Usuarios Más Activos
| Username | Bio | Number of tweets |
|---|---|---|
| GodwinP45216248 | - | 1 |
| janelliexbabyx3 | sicker than ur average • insta: @jmaddzx3 | 1 |
| kathy_ellzey17 | - | 1 |
| marya_medina_ | - | 1 |
| patrici38253735 | - | 1 |
| peterman61anita | - | 1 |
| savannahv999 | a love letter to you 💌 | 1 |
Tweets por Día
Idiomas Principales Utilizados
Top 10 Hashtags
Top 10 Menciones
| Mention | Count |
|---|---|
| @savmontano | 7 |
Nube de Palabras de los Tweets
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