ntvhava - Tweet Data Analysis

Tweets Analysis - Keyword: @ntvhava

Veröffentlicht am 9. April 2023

Übersicht

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

Zusammenfassung

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.

Themenmodellierung

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

Emotionsanalyse

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.

Trendanalyse

  • 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.

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

1

50% vom Gesamten

Number of Original tweets

1

50% 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

2

100% vom Gesamten

Number of tweets that contain Mentions

2

100% vom Gesamten

Verwendete Geräte zum Tweeten

Top 5 Geräte

Source Count
Twitter for iPhone 2

Geräteverteilung

Verwendete Geräte zum Tweeten

Top 10 Konten nach Followern

Username Name Bio Followers count
tarkan_siper Tarkan Siper 🇹🇷 Yine yeni yeniden... 2.059

Top 10 Konten nach Following

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

Aktivste Nutzer

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

Tweets pro Tag

Tweets pro Tag Diagramm

Top 10 Tweets nach 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 nach Likes

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

Top verwendete Sprachen

In Tweets verwendete Sprachen

Top 10 Hashtags

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

Top 10 Erwaenungen

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

Wortwolke der Tweets

Wortwolke der Tweets

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