ntvhava - Tweet Data Analysis

Tweets Analysis - Keyword: @ntvhava

Published April 9, 2023

Overview

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

Summarization

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.

Topic Modeling

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

Emotional Analysis

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.

Trend Analysis

  • 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.

Disclaimer: The text analysis on twtdata.com, powered by OpenAI, does not represent the views of twtdata.com or its affiliates. The analysis is for informational purposes only and not an endorsement of any viewpoint.

Types of Tweets

Number of Retweets

1

50% of total

Number of Original tweets

1

50% of total

Number of tweets that were Quotes

0

0% of total

Number of tweets that were Replies

0

0% of total

Number of tweets that contain Hashtags

2

100% of total

Number of tweets that contain Mentions

2

100% of total

Devices Used to Tweet

Top 5 Devices

Source Count
Twitter for iPhone 2

Device Distribution

Devices used to tweet

Top 10 Accounts by Followers

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

Top 10 Accounts by Friends

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

Most Active Users

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

Tweets Per Day

Tweets per day chart

Top 10 Tweets by 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 by 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 Languages Used

Languages used in 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

Wordcloud of Tweets

Wordcloud of tweets

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