savmontano - Tweet Data Analysis

Tweets Analysis - Keyword: @savmontano

Published March 8, 2023

Overview

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

Summarization

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.

Topic Modeling

  • 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

Emotional Analysis

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.

Trend Analysis

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

Disclaimer: The text analysis on twtdata.com, powered by OpenAI, does not represent the views of twtdata.com or its affiliates. The analysis is for informational purposes only and not an endorsement of any viewpoint.

Types of Tweets

Number of Retweets

7

100% of total

Number of Original tweets

0

0% of total

Number of tweets that were Quotes

0

0% of total

Number of tweets that were Replies

0

0% of total

Number of tweets that contain Hashtags

0

0% of total

Number of tweets that contain Mentions

7

100% of total

Devices Used to Tweet

Top 5 Devices

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

Device Distribution

Devices used to tweet

Top 10 Accounts by Followers

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 Accounts by Friends

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

Most Active Users

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 Per Day

Tweets per day chart

Top Languages Used

Languages used in tweets

Top 10 Hashtags

Top 10 Mentions

Mention Count
@savmontano 7
Top mentions

Wordcloud of Tweets

Wordcloud of tweets

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