savmontano - Tweet Data Analysis

Tweets Analysis - Keyword: @savmontano

Diterbitkan pada 08/03/2023

Ringkasan

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

Ringkasan

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.

Pemodelan Topik

  • 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

Analisis Sentimen

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.

Analisis Tren

  • School shootings
  • Gun control
  • Gun safety
  • Gun violence
  • Firearm possession

Penafian: Analisis teks twtdata.com menggunakan OpenAI dan tidak mewakili pendapat twtdata.com atau afiliasinya. Analisis ini hanya untuk tujuan informasi dan bukan merupakan dukungan terhadap pendapat apa pun.

Jenis Tweet

Number of Retweets

7

100% dari total

Number of Original tweets

0

0% dari total

Number of tweets that were Quotes

0

0% dari total

Number of tweets that were Replies

0

0% dari total

Number of tweets that contain Hashtags

0

0% dari total

Number of tweets that contain Mentions

7

100% dari total

Perangkat yang Digunakan untuk Tweet

Top 5 Perangkat

Source Count
Twitter Web App 4
Twitter for iPhone 2
Twitter for Android 1

Distribusi Perangkat

Perangkat yang digunakan untuk tweet

Top 10 Akun Berdasarkan Pengikut

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 Akun Berdasarkan Mengikuti

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

Pengguna Paling Aktif

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

Tweet per Hari

Grafik tweet per hari

Bahasa Utama yang Digunakan

Bahasa yang digunakan dalam tweet

Top 10 Hashtag

Top 10 Mention

Mention Count
@savmontano 7
Top mention

Word Cloud Tweet

Word cloud tweet

Perlu Analisis Data Twitter yang Dipersonalisasi?

Dapatkan wawasan mendalam tentang kata kunci, hashtag, atau akun apa pun di twtData.

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