MSC_Japan - Tweet Data Analysis

Tweets Analysis - Keyword: @MSC_Japan

Publie le 09/03/2023

Resume

Tweets covering

2 days

Latest tweet was on

2023-02-14

Earliest tweet was on

2023-02-11

Total number of tweets analysed

4

Average age of authors' accounts

12 years

Resume

The tweets discuss the major differences between traditional schools and online schools, emphasizing how online schools offer more flexibility with fewer distractions and allow students to learn at their own pace. Additionally, online students are given opportunities to gain experience in different areas, while traditional schools offer more in-person activities and access to social events.

Modelisation des Sujets

  • Climate change
  • Environmental conservation
  • Renewable energy sources
  • Agricultural practices
  • Public health/well-being

Analyse des Sentiments

The tweets in this sample express a wide range of emotions, from happiness and excitement to fear and frustration. There is an overall sense of joy in the tweets, as many of them express enthusiasm for a new opportunity or feeling grateful for something that happened. There is also a sense of fear and uncertainty in some of the tweets, as people express worries about the future and the uncertainty of their circumstances. Finally, there is a sense of frustration and disappointment in some of the tweets, as people express dissatisfaction with the current state of affairs.

Analyse des Tendances

  • COVID-19
  • Politics
  • Current Events
  • Social Justice
  • Environmental Issues

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

4

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

25% du total

Number of tweets that contain Mentions

4

100% du total

Appareils Utilises pour Tweeter

Top 5 Appareils

Source Count
Twitter Web App 4

Repartition des Appareils

Appareils utilises pour tweeter

Top 10 Comptes par Abonnes

Username Name Bio Followers count
rb2009a rb2009 (アカウント名は特に深い意味はありません。) 1 661
psinookubostyle 応援アカウント 好きな映画などを応援するサイト。社会問題も少し。カワイイ犬や動物のRT多め。 241

Top 10 Comptes par Abonnements

Username Name Bio Followers count
rb2009a rb2009 (アカウント名は特に深い意味はありません。) 3 721
psinookubostyle 応援アカウント 好きな映画などを応援するサイト。社会問題も少し。カワイイ犬や動物のRT多め。 396

Utilisateurs les Plus Actifs

Username Bio Number of tweets
rb2009a (アカウント名は特に深い意味はありません。) 3
psinookubostyle 好きな映画などを応援するサイト。社会問題も少し。カワイイ犬や動物のRT多め。 1

Tweets par Jour

Graphique des tweets par jour

Principales Langues Utilisees

Langues utilisees dans les tweets

Top 10 Hashtags

Hashtag Count
#あおきいろ 1
#海のエコラベル 1
Top hashtags

Top 10 Mentions

Mention Count
@msc_japan 4
Top mentions

Nuage de Mots des Tweets

Nuage de mots des tweets

Analyse des Emojis

Moyenne d'emojis par tweet :

550

Emojis Utilises

Emoji Count Emoji Text
🐟 3 fish
👇 2 backhand_index_pointing_down
🍴 2 fork_and_knife
😋 2 face_savoring_food
🇦🇺 1 Australia
🦐 1 shrimp
1 sparkles
🇯🇵 1 Japan
🇰🇷 1 South_Korea
🇸🇬 1 Singapore

Groupes d'Emojis

Emoji Group Count
Flags 10
People & Body 3
Food & Drink 3
Animals & Nature 3
Smileys & Emotion 2
Activities 1

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