akashabook_jp - Tweet Data Analysis

Tweets Analysis - Keyword: @akashabook_jp

Publie le 09/03/2023

Resume

Tweets covering

5 days

Latest tweet was on

2023-02-18

Earliest tweet was on

2023-02-12

Total number of tweets analysed

9

Average age of authors' accounts

7 years

Resume

This series of tweets describes a situation in which a driver has been pulled over for speeding. Despite the officer explaining why the speed limit is necessary, the driver insists on speeding again, resulting in the officer writing a ticket.

Modelisation des Sujets

  • Politics
  • Social Issues
  • Science and Technology
  • Culture and Values
  • Healthcare

Analyse des Sentiments

The tweets express a range of emotions, from excitement and joy to frustration and sadness. The most dominant emotion expressed is happiness, with many of the tweets expressing gratitude, enthusiasm, and contentment. Some of the tweets express frustration, confusion, and sadness, indicating that the authors are feeling overwhelmed or overwhelmed by their current circumstances. Overall, the tweets express a sense of hope and optimism, suggesting that the authors are feeling positive about the future.

Analyse des Tendances

  • COVID-19 response
  • International news
  • Economic/financial market news
  • Political news
  • Cultural/social news

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

9

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

8

88% du total

Number of tweets that contain Mentions

9

100% du total

Appareils Utilises pour Tweeter

Top 5 Appareils

Source Count
Twitter for Android 5
Twitter for iPhone 4

Repartition des Appareils

Appareils utilises pour tweeter

Top 10 Comptes par Abonnes

Username Name Bio Followers count
mrmi_am ラッコ 🎤(👔、🌔、🥂👔)、にじさんじ、FGO、アークナイツ、ポケコロなどの壁打ち/成人済み・女性向け 228
adgjm87654 よろしく - 107
Knd_lemon れもん 20↑腐女子 24

Top 10 Comptes par Abonnements

Username Name Bio Followers count
adgjm87654 よろしく - 246
mrmi_am ラッコ 🎤(👔、🌔、🥂👔)、にじさんじ、FGO、アークナイツ、ポケコロなどの壁打ち/成人済み・女性向け 165
Knd_lemon れもん 20↑腐女子 53

Utilisateurs les Plus Actifs

Username Bio Number of tweets
adgjm87654 - 4
mrmi_am 🎤(👔、🌔、🥂👔)、にじさんじ、FGO、アークナイツ、ポケコロなどの壁打ち/成人済み・女性向け 4
Knd_lemon 20↑腐女子 1

Tweets par Jour

Graphique des tweets par jour

Principales Langues Utilisees

Langues utilisees dans les tweets

Top 10 Hashtags

Hashtag Count
#終末のアーカーシャ 5
#金元寿子宇宙で最も可愛いアイドル 1
#金元寿子 1
#金元寿子古くから伝わる 1
#終アカ 1
#アル 1
#虚言大会 1
#優希知冴館主様 1
#終末アーカーシャ 1
#石川界人 1
Top hashtags

Top 10 Mentions

Mention Count
@akashabook_jp 8
@orangesekai1 1
@greedyjar 1
Top mentions

Nuage de Mots des Tweets

Nuage de mots des tweets

Analyse des Emojis

Moyenne d'emojis par tweet :

155

Emojis Utilises

Emoji Count Emoji Text
💖 3 sparkling_heart
🎁 2 wrapped_gift
2 crossed_swords
🌟 1 glowing_star
1 sparkles
👀 1 eyes
💦 1 sweat_droplets
👊 1 oncoming_fist
💎 1 gem_stone
1 exclamation_question_mark

Groupes d'Emojis

Emoji Group Count
Smileys & Emotion 4
Activities 3
Objects 3
People & Body 2
Travel & Places 1
Symbols 1

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