Tweets Analysis - Keyword: @ntvhava

Overview

Total number of tweets analysed

2

Earliest tweet was on

2023-03-26

Latest tweet was on

2023-03-26

Tweets covering

0 days

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

  1. Weather forecast
  2. Anticipation of snowfall
  3. Use of hashtags
  4. Mentions of news organizations
  5. 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

  1. 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.
  2. Hava: This topic is also mentioned in the tweet, referring to weather conditions. It is highlighted by the hashtags #hava and #yağış.
  3. 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.
  4. 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.
  5. 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

Percentage of total tweets

50%

Number of Original tweets

1

Percentage of total tweets

50%

Number of tweets that contain Mentions

2

Percentage of total tweets

100%

Number of tweets that were Replies

0

Percentage of total tweets

0%

Number of tweets that were Quotes

0

Percentage of total tweets

0%

Number of tweets that contain Hashtags

2

Percentage of total tweets

100%


Top 5 devices used to tweet

Source Count
Twitter for iPhone 2

What devices were used to tweet


Top 10 accounts with highest followers count

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

Top 10 accounts with highest friends count

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


Top 10 tweets with highest Retweet count

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 with highest Like count

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 3 Languages Used In Tweets


Top 10 Hashtags used

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

Top 10 Hashtags Used In Tweets

Top 10 mentions

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

Top 10 mentions

Wordcloud of Tweets