signagnststroke - Tweet Data Analysis

Tweets Analysis - Keyword: @signagnststroke

Veröffentlicht am 9. April 2023

Übersicht

Tweets covering

0 days

Latest tweet was on

2023-03-20

Earliest tweet was on

2023-03-20

Total number of tweets analysed

1

Average age of authors' accounts

12 years

Zusammenfassung

The author became sick due to stress, experiencing foggy thoughts and vomiting. They slept all day and woke up feeling seriously ill. They mention organizations related to bipolar disorder, stroke, anxiety and a medical network.

Themenmodellierung

  • Physical Symptoms of Stress
  • Mental Health Conditions
  • Medical Institutions and Organizations
  • Personal Experience with Illness
  • Anxiety and Coping Mechanisms

Emotionsanalyse

The author expresses extreme distress and physical illness resulting from stress. They describe feeling foggy and their mind spinning, ultimately leading to vomiting. They also mention sleeping all day and waking up feeling seriously sick, possibly indicating ongoing struggles with bipolar disorder and anxiety. Overall, the tweets convey a sense of overwhelming and debilitating emotions.

Trendanalyse

  • Stress and its physical effects (#StressSick, #Stroke)
  • Mental health disorders and related organizations/communities (@bipolar, @sadtruthwords, @signagnststroke, @YaleMed, @TTP_Network, @IntlBipolar, @anxietymsgs)
  • The impact of stress on daily life and productivity
  • The importance of self-care and rest in recovery from illness
  • The need for awareness and education around mental health issues and their physical symptoms

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

0

0% vom Gesamten

Number of Original tweets

1

100% 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

1

100% vom Gesamten

Number of tweets that contain Mentions

1

100% vom Gesamten

Verwendete Geräte zum Tweeten

Top 5 Geräte

Source Count
Twitter for iPhone 1

Geräteverteilung

Verwendete Geräte zum Tweeten

Top 10 Konten nach Followern

Username Name Bio Followers count
CzeansFall CzEanSfALL Sometime sacrifice is a must!! shit the only thing that should b looking back at the past is my back ? so wave to it and lets c if it … 424

Top 10 Konten nach Following

Username Name Bio Followers count
CzeansFall CzEanSfALL Sometime sacrifice is a must!! shit the only thing that should b looking back at the past is my back ? so wave to it and lets c if it … 2.380

Aktivste Nutzer

Username Bio Number of tweets
CzeansFall Sometime sacrifice is a must!! shit the only thing that should b looking back at the past is my back ? so wave to it and lets c if it … 1

Tweets pro Tag

Tweets pro Tag Diagramm

Top 10 Tweets nach Retweets

ID Text Retweet count
1637741780727726081 I literally became “sick!!!” Because of the stress!! @bipoar @sadtruthwords I was foggy in the head, my mind was spinning & I puked 🤢 #StressSick #Stroke I slept all day … 0

Top 10 Tweets nach Likes

ID Text Like count
1637741780727726081 I literally became “sick!!!” Because of the stress!! @bipoar @sadtruthwords I was foggy in the head, my mind was spinning & I puked 🤢 #StressSick #Stroke I slept all day … 0

Top verwendete Sprachen

In Tweets verwendete Sprachen

Top 10 Hashtags

Hashtag Count
#stresssick 1
#stroke 1
#sick 1
Top Hashtags

Top 10 Erwaenungen

Mention Count
@bipoar 1
@sadtruthwords 1
@signagnststroke 1
@yalemed 1
@ttp_network 1
@intlbipolar 1
@anxietymsgs 1
Top Erwaenungen

Wortwolke der Tweets

Wortwolke der Tweets

Emoji-Analyse

Durchschnittliche Emojis pro Tweet:

100

Verwendete Emojis

Emoji Count Emoji Text
🤢 1 nauseated_face

Emoji-Gruppen

Emoji Group Count
Smileys & Emotion 1

Benötigen Sie individuelle Twitter-Datenanalyse?

Erhalten Sie detaillierte Einblicke zu jedem Stichwort, Hashtag oder Konto mit twtData.

Jetzt starten