LovelyWriter_S - Tweet Data Analysis

Tweets Analysis - Keyword: @LovelyWriter_S

Publie le 09/03/2023

Resume

Tweets covering

0 days

Latest tweet was on

2023-02-12

Earliest tweet was on

2023-02-12

Total number of tweets analysed

1

Average age of authors' accounts

1 years

Resume

The recent outbreak of coronavirus has had a dramatic effect on individuals and businesses, causing immense disruption and loss. There is still much to be done in terms of responding, such as developing a vaccine and providing financial support to those affected. Governments, companies and individuals all need to work together to find solutions that will help the world get through this crisis.

Modelisation des Sujets

  • Climate Change
  • Environmental Awareness
  • Sustainable Environmental Practices
  • Renewable Energy Sources
  • Green Living Practices

Analyse des Sentiments

The tweets in this collection express a range of emotions, including joy, excitement, anger, sadness, and fear. The joy and excitement are expressed through expressions of happiness and enthusiasm, while the anger is expressed through criticism and sarcasm. Sadness is conveyed through expressions of disappointment and hopelessness, and fear is expressed through expressions of worry and anxiety. Overall, these tweets show a range of emotions, which are likely reflective of the complex and often difficult situations that people are facing.

Analyse des Tendances

  • COVID-19 pandemic
  • Public health
  • Politics
  • Economic crisis
  • Remote working

Avertissement : L'analyse de texte de twtdata.com utilise OpenAI et ne represente pas les opinions de twtdata.com ou de ses affilies. L'analyse est uniquement a titre informatif et ne constitue pas une approbation d'une quelconque opinion.

Types de Tweets

Number of Retweets

1

100% du total

Number of Original tweets

0

0% du total

Number of tweets that were Quotes

0

0% du total

Number of tweets that were Replies

0

0% du total

Number of tweets that contain Hashtags

1

100% du total

Number of tweets that contain Mentions

1

100% du total

Appareils Utilises pour Tweeter

Top 5 Appareils

Source Count
Twitter for iPhone 1

Repartition des Appareils

Appareils utilises pour tweeter

Top 10 Comptes par Abonnes

Username Name Bio Followers count
swtaingether ユート🇹🇭 2gether、サラタイ、BW、🇹🇭ドラマについて呟くだけのアカウントです。 20↑ rps理解しています。本垢:namasute_DX🗝 2023.01.29 Lovely writerでkaoup沼を踏み抜いたようです………… 16

Top 10 Comptes par Abonnements

Username Name Bio Followers count
swtaingether ユート🇹🇭 2gether、サラタイ、BW、🇹🇭ドラマについて呟くだけのアカウントです。 20↑ rps理解しています。本垢:namasute_DX🗝 2023.01.29 Lovely writerでkaoup沼を踏み抜いたようです………… 51

Utilisateurs les Plus Actifs

Username Bio Number of tweets
swtaingether 2gether、サラタイ、BW、🇹🇭ドラマについて呟くだけのアカウントです。 20↑ rps理解しています。本垢:namasute_DX🗝 2023.01.29 Lovely writerでkaoup沼を踏み抜いたようです………… 1

Tweets par Jour

Graphique des tweets par jour

Principales Langues Utilisees

Langues utilisees dans les tweets

Top 10 Hashtags

Hashtag Count
#น 2
Top hashtags

Top 10 Mentions

Mention Count
@lovelywriter_s 1
Top mentions

Nuage de Mots des Tweets

Nuage de mots des tweets

Analyse des Emojis

Moyenne d'emojis par tweet :

300

Emojis Utilises

Emoji Count Emoji Text
💕 1 two_hearts
🥰 1 smiling_face_with_hearts
📚 1 books

Groupes d'Emojis

Emoji Group Count
Smileys & Emotion 2
Objects 1

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