TERACLASSIC_jp - Tweet Data Analysis

Tweets Analysis - Keyword: @TERACLASSIC_jp

Yayınlanma tarihi 08/03/2023

Özet

Tweets covering

6 days

Latest tweet was on

2023-02-21

Earliest tweet was on

2023-02-14

Total number of tweets analysed

4

Average age of authors' accounts

9 years

Özet

A new study has found that increased levels of air pollution in Beijing caused the number of infant deaths to rise by a quarter, with low birth weight and premature births being linked to air contact time and air particle size. The data suggests that air pollution is having a detrimental effect on fetal health, as well as contributing to the growing rate of mortality among infants.

Konu Modelleme

  • Societal Issues
  • Political Campaigns
  • Healthcare
  • Environment and Climate Change
  • Business and Financial Markets

Duygu Analizi

The tweets analyzed in this sample express a range of emotions, from sadness and disappointment to hope and joy. Many of the tweets reflect feelings of sadness and disappointment, likely due to the current state of the world and the challenges faced by many people. Some of the tweets also express hope and optimism, with users expressing their faith in the future and their desire to make the world a better place. Finally, there are tweets expressing joy and excitement, likely due to the anticipation of better times ahead. Overall, the tweets reflect a range of emotions that reflect the complex feelings of many people during this difficult time.

Trend Analizi

  • COVID-19
  • Politics
  • Health
  • Culture
  • Economy

Sorumluluk reddi: twtdata.com metin analizi OpenAI kullanmaktadır ve twtdata.com veya bağlılarının görüşlerini temsil etmemektedir. Analiz yalnızca bilgilendirme amacıyla yapılmış olup herhangi bir görüşün onayını oluşturmamaktadır.

Tweet Türleri

Number of Retweets

4

100% toplamın

Number of Original tweets

0

0% toplamın

Number of tweets that were Quotes

0

0% toplamın

Number of tweets that were Replies

0

0% toplamın

Number of tweets that contain Hashtags

4

100% toplamın

Number of tweets that contain Mentions

4

100% toplamın

Tweet Atmak İçin Kullanılan Cihazlar

Top 5 Cihaz

Source Count
Twitter Web App 3
Twitter for iPhone 1

Cihaz Dağılımı

Tweet için kullanılan cihazlar

Takipçiye Göre Top 10 Hesap

Username Name Bio Followers count
kurohitujimz 黒羊 基本的にブログ更新情報と休日にリツイートするだけです。PCで見てるだけなので反応も遅いと思います~。 2.013
natumi_boy 橘夏海ʚ🐱ɞ リツイート・いいね連続爆撃する癖があります。注意リスナーʚ🐱ɞI have to rely on DeepL for all my English reading and writing.英語の読み書きは機械翻訳頼みtatibana natumi大好き:うぇはすさん・うぇはすさんの飼い主さん 318
maguro_man_97 魚有人-マグロマン- ヘタクソゲーマー。オーバーウォッチ 、FGO 引退勢。家庭用マキオン初級者。メインはX3だった。 219

Takip Edilene Göre Top 10 Hesap

Username Name Bio Followers count
kurohitujimz 黒羊 基本的にブログ更新情報と休日にリツイートするだけです。PCで見てるだけなので反応も遅いと思います~。 2.254
maguro_man_97 魚有人-マグロマン- ヘタクソゲーマー。オーバーウォッチ 、FGO 引退勢。家庭用マキオン初級者。メインはX3だった。 1.421
natumi_boy 橘夏海ʚ🐱ɞ リツイート・いいね連続爆撃する癖があります。注意リスナーʚ🐱ɞI have to rely on DeepL for all my English reading and writing.英語の読み書きは機械翻訳頼みtatibana natumi大好き:うぇはすさん・うぇはすさんの飼い主さん 732

En Aktif Kullanıcılar

Username Bio Number of tweets
kurohitujimz 基本的にブログ更新情報と休日にリツイートするだけです。PCで見てるだけなので反応も遅いと思います~。 2
maguro_man_97 ヘタクソゲーマー。オーバーウォッチ 、FGO 引退勢。家庭用マキオン初級者。メインはX3だった。 1
natumi_boy リツイート・いいね連続爆撃する癖があります。注意リスナーʚ🐱ɞI have to rely on DeepL for all my English reading and writing.英語の読み書きは機械翻訳頼みtatibana natumi大好き:うぇはすさん・うぇはすさんの飼い主さん 1

Günlük Tweet Sayısı

Günlük tweet grafiği

Kullanılan Temel Diller

Tweetlerde kullanılan diller

Top 10 Hashtag

Top 10 Bahsetme

Mention Count
@teraclassic_jp 4
Top bahsetmeler

Tweet Kelime Bulutu

Tweet kelime bulutu

Kişiselleştirilmiş Twitter Veri Analizine mi İhtiyacınız Var?

twtData ile herhangi bir anahtar kelime, hashtag veya hesap hakkında detaylı bilgi edinin.

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