ntvhava - Tweet Data Analysis

Tweets Analysis - Keyword: @ntvhava

Publicado el 09/04/2023

Resumen

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

Resumen

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.

Modelado de Temas

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

Análisis de Sentimientos

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.

Análisis de Tendencias

  • 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.

Descargo de responsabilidad: El análisis de texto de twtdata.com utiliza OpenAI y no representa las opiniones de twtdata.com o sus afiliados. El análisis es solo para fines informativos y no constituye un respaldo de ninguna opinión.

Tipos de Tweets

Number of Retweets

1

50% del total

Number of Original tweets

1

50% del total

Number of tweets that were Quotes

0

0% del total

Number of tweets that were Replies

0

0% del total

Number of tweets that contain Hashtags

2

100% del total

Number of tweets that contain Mentions

2

100% del total

Dispositivos Utilizados para Tuitear

Top 5 Dispositivos

Source Count
Twitter for iPhone 2

Distribución de Dispositivos

Dispositivos utilizados para tuitear

Top 10 Cuentas por Seguidores

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

Top 10 Cuentas por Seguidos

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

Usuarios Más Activos

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

Tweets por Día

Gráfico de tweets por día

Top 10 Tweets por 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 por Me Gusta

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

Idiomas Principales Utilizados

Idiomas utilizados en los tweets

Top 10 Hashtags

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

Top 10 Menciones

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

Nube de Palabras de los Tweets

Nube de palabras de los tweets

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