ntvhava - Tweet Data Analysis

Tweets Analysis - Keyword: @ntvhava

Publié le 09/04/2023

Résumé

Tweets covering

0 days

Latest tweet was on

2023-03-26

Earliest tweet was on

2023-03-26

Total number of tweets analysed

2

Average age of authors' accounts

6 years

Résumé

Many cities are expected to experience snowfall on Wednesday, March 29th. The tweet mentions the topics of weather, snow, and cold. The tweet tags several news outlets including NTV Hava and Havamedyaa, as well as journalist BunyaminSurmeli.

Modélisation des Sujets

  • Weather forecast
  • Anticipation of snowfall
  • Use of hashtags
  • Mentions of news organizations
  • Mentions of weather reporters/journalists

Analyse des Sentiments

The tweet expresses anticipation for snowfall on March 29th in many parts of the country. The use of hashtags and mentions of weather-related accounts and persons indicates an interest in and excitement for weather events. The overall emotion conveyed in the tweet is that of eagerness and readiness for the potential snowfall.

Analyse des Tendances

  • Kar yağışı: This is the main topic of the tweet, as indicated by the hashtag #kar. The tweet predicts the occurrence of snowfall in many cities on Wednesday, March 29.
  • Hava: This topic is also mentioned in the tweet, referring to weather conditions. It is highlighted by the hashtags #hava and #yağış.
  • Ayaz: This is a Turkish word that means "cold" or "chill". It is used in the tweet to describe the expected weather conditions, and is hashtagged accordingly.
  • Ntvhava: This is a Twitter username that is mentioned in the tweet. It is the handle for NTV Hava, which is a Turkish weather news platform. This indicates that the tweet is related to weather forecasting and news.
  • Other usernames: The tweet also mentions two other Twitter handles, @BunyaminSurmeli and @havamedyaa, which are likely associated with weather news or forecasting as well.

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

Types de Tweets

Number of Retweets

1

50% du total

Number of Original tweets

1

50% 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

2

100% du total

Number of tweets that contain Mentions

2

100% du total

Appareils Utilisés pour Tweeter

Top 5 Appareils

Source Count
Twitter for iPhone 2

Répartition des Appareils

Appareils utilisés pour tweeter

Top 10 Comptes par Abonnés

Username Name Bio Followers count
tarkan_siper Tarkan Siper 🇹🇷 Yine yeni yeniden... 2 059

Top 10 Comptes par Abonnements

Username Name Bio Followers count
tarkan_siper Tarkan Siper 🇹🇷 Yine yeni yeniden... 834

Utilisateurs les Plus Actifs

Username Bio Number of tweets
tarkan_siper Yine yeni yeniden... 2

Tweets par Jour

Graphique des tweets par jour

Top 10 Tweets par Retweets

ID Text Retweet count
1639901195429900289 29 mart çarşamba günü pek çok ilde #kar yağışı bekliyorum… #hava #yağiş #ayaz @ntvhava @BunyaminSurmeli @havamedyaa https://t.co/Cz2m9b6miL 1

Top 10 Tweets par J'aime

ID Text Like count
1639901195429900289 29 mart çarşamba günü pek çok ilde #kar yağışı bekliyorum… #hava #yağiş #ayaz @ntvhava @BunyaminSurmeli @havamedyaa https://t.co/Cz2m9b6miL 2

Principales Langues Utilisées

Langues utilisées dans les tweets

Top 10 Hashtags

Hashtag Count
#kar 2
#hava 2
#yağiş 2
#ayaz 2
Top hashtags

Top 10 Mentions

Mention Count
@ntvhava 2
@bunyaminsurmeli 2
@havamedyaa 2
@tarkan_siper 1
Top mentions

Nuage de Mots des Tweets

Nuage de mots des tweets

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