savmontano - Tweet Data Analysis

Tweets Analysis - Keyword: @savmontano

Publicado el 08/03/2023

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

The tweets analyzed express a range of emotions, including happiness, sadness, fear, anger, and confusion. The majority of the tweets express feelings of happiness, with many people expressing excitement about upcoming events and plans. Some tweets express sadness, such as those expressing feelings of loss and disappointment. Fear is also expressed in some tweets, as people express concerns about their safety or the safety of others. Anger is also expressed in some tweets, as people express frustration about current events and situations. Finally, confusion is also expressed in some tweets, as people express confusion about current events and situations.

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

Dispositivos utilizados para tuitear

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

Gráfico de tweets por día

Idiomas Principales Utilizados

Idiomas utilizados en los tweets

Top 10 Hashtags

Top 10 Menciones

Mention Count
@savmontano 7
Top menciones

Nube de Palabras de los Tweets

Nube de palabras de los tweets

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