savmontano - Tweet Data Analysis
Tweets Analysis - Keyword: @savmontano
Übersicht
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
Zusammenfassung
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.
Themenmodellierung
- 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
Emotionsanalyse
Trendanalyse
- School shootings
- Gun control
- Gun safety
- Gun violence
- Firearm possession
Haftungsausschluss: Die Textanalyse auf twtdata.com, unterstützt durch OpenAI, stellt nicht die Ansichten von twtdata.com oder seinen verbundenen Unternehmen dar. Die Analyse dient nur zu Informationszwecken und ist keine Bestätigung einer Meinung.
Tweet-Arten
Number of Retweets
7
100% vom Gesamten
Number of Original tweets
0
0% vom Gesamten
Number of tweets that were Quotes
0
0% vom Gesamten
Number of tweets that were Replies
0
0% vom Gesamten
Number of tweets that contain Hashtags
0
0% vom Gesamten
Number of tweets that contain Mentions
7
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter Web App | 4 |
| Twitter for iPhone | 2 |
| Twitter for Android | 1 |
Geräteverteilung
Top 10 Konten nach Followern
| 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 Konten nach Following
| 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 |
Aktivste Nutzer
| 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 pro Tag
Top verwendete Sprachen
Top 10 Hashtags
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @savmontano | 7 |
Wortwolke der Tweets
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