at9film - Tweet Data Analysis

Tweets Analysis - Keyword: @at9film

Published March 9, 2023

Overview

Tweets covering

9 days

Latest tweet was on

2023-02-20

Earliest tweet was on

2023-02-11

Total number of tweets analysed

14

Average age of authors' accounts

9 years

Summarization

The tweets discuss the harmful effects of air pollution, highlighting that such pollution exacerbates respiratory distress, contributes to global warming, reduces air-quality, and increases acid rain. In conclusion, it is urged that governments should take consistent steps to combat air pollution, both on a local and global scale.

Topic Modeling

  • Racism and discrimination
  • Superspreaders and prevention of the spread of the coronavirus
  • Economic issues such as job loss, food insecurity, and lack of education resources
  • Mental health issues resulting from the pandemic
  • Political instability and current events

Emotional Analysis

The tweets in this collection express a range of emotions, from joy and excitement to sadness and disappointment. Many of the tweets express positive emotions, such as joy, enthusiasm, and admiration, while others express negative emotions, such as disappointment, frustration, and anger. Some of the tweets also express a sense of hope and optimism, while others express feelings of anxiety and worry. Overall, the tweets in this collection express a wide range of emotions, reflecting the complexity of the current situation.

Trend Analysis

  • COVID-19
  • Public Health
  • Global News
  • Politics
  • Social Issues

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

14

100% of total

Number of Original tweets

0

0% 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

6

42% of total

Number of tweets that contain Mentions

14

100% of total

Devices Used to Tweet

Top 5 Devices

Source Count
Twitter for Android 6
Twitter Web App 5
Twitter for iPhone 3

Device Distribution

Devices used to tweet

Top 10 Accounts by Followers

Username Name Bio Followers count
JunkoIio いいをじゅんこ クラシック喜劇研究家/神戸クラシックコメディ映画祭実行委員長 「NOBODY KNOWS チャーリー・バワーズ」活弁無声映画『I AM JAM』神戸クラシックコメディ映画祭2023 1/7-9「ピエール・エテックス・レトロスペクティブ」 1,449
JGWiegler 서줌무늬 죽여주네❌TERF❌ㄹㅔㄷ팸 1,161
iks2959 범호 영화/시리즈에 대한 감상 타래, 일상에 대한 트윗을 주로 남깁니다. 잠금 구독계는 받지 않습니다. 634
leosun_Ju Ju Hee '10을 위한 9의 열정' 196
_VMA_951230_ 비마 좋아하는 사람이 너무 많은 사람 194
bye5180n BAEK🥟🎗 잡덕 ㅣ저 그런 사람 아닙니다. | #GirlsCanDoAnything| https://t.co/6mAjpHJCyp| https://t.co/kNcF9g45cf 180
S3Syd 시드🥑 🏳️‍🌈 79
NumbPurity Zhivoy 동반살자 / 마스카라 픽서, 핀셋, 온향 76
song1014 ssong 🍉 63

Top 10 Accounts by Friends

Username Name Bio Followers count
JunkoIio いいをじゅんこ クラシック喜劇研究家/神戸クラシックコメディ映画祭実行委員長 「NOBODY KNOWS チャーリー・バワーズ」活弁無声映画『I AM JAM』神戸クラシックコメディ映画祭2023 1/7-9「ピエール・エテックス・レトロスペクティブ」 1,079
bye5180n BAEK🥟🎗 잡덕 ㅣ저 그런 사람 아닙니다. | #GirlsCanDoAnything| https://t.co/6mAjpHJCyp| https://t.co/kNcF9g45cf 558
song1014 ssong 🍉 541
iks2959 범호 영화/시리즈에 대한 감상 타래, 일상에 대한 트윗을 주로 남깁니다. 잠금 구독계는 받지 않습니다. 539
_VMA_951230_ 비마 좋아하는 사람이 너무 많은 사람 435
leosun_Ju Ju Hee '10을 위한 9의 열정' 343
JGWiegler 서줌무늬 죽여주네❌TERF❌ㄹㅔㄷ팸 211
NumbPurity Zhivoy 동반살자 / 마스카라 픽서, 핀셋, 온향 107
S3Syd 시드🥑 🏳️‍🌈 34

Most Active Users

Username Bio Number of tweets
JGWiegler 죽여주네❌TERF❌ㄹㅔㄷ팸 4
bye5180n 잡덕 ㅣ저 그런 사람 아닙니다. | #GirlsCanDoAnything| https://t.co/6mAjpHJCyp| https://t.co/kNcF9g45cf 3
JunkoIio クラシック喜劇研究家/神戸クラシックコメディ映画祭実行委員長 「NOBODY KNOWS チャーリー・バワーズ」活弁無声映画『I AM JAM』神戸クラシックコメディ映画祭2023 1/7-9「ピエール・エテックス・レトロスペクティブ」 1
NumbPurity 동반살자 / 마스카라 픽서, 핀셋, 온향 1
S3Syd 🏳️‍🌈 1
_VMA_951230_ 좋아하는 사람이 너무 많은 사람 1
iks2959 영화/시리즈에 대한 감상 타래, 일상에 대한 트윗을 주로 남깁니다. 잠금 구독계는 받지 않습니다. 1
leosun_Ju '10을 위한 9의 열정' 1
song1014 🍉 1

Tweets Per Day

Tweets per day chart

Top Languages Used

Languages used in tweets

Top 10 Hashtags

Hashtag Count
#절찬상영중 3
#수프와이데올로기 2
#장피에르레오 2
#프랑수아트뤼포 2
#메이드인루프탑 1
#정휘 1
#곽민규 1
#강정우 1
#염문경 1
#이정은 1
Top hashtags

Top 10 Mentions

Mention Count
@at9film 14
Top mentions

Wordcloud of Tweets

Wordcloud of tweets

Emoji Analysis

Average emojis per tweet:

142

Emojis Used

Emoji Count Emoji Text
🎞️ 2 film_frames
🏆 2 trophy
🎙️ 2 studio_microphone
😘 1 face_blowing_a_kiss
💬 1 speech_balloon
🙇‍♀️ 1 woman_bowing
👩‍👧 1 family_woman_girl
🙋🏻‍♂️ 1 man_raising_hand_light_skin_tone
🙋🏻‍♀️ 1 woman_raising_hand_light_skin_tone
🌊 1 water_wave

Emoji Groups

Emoji Group Count
Objects 6
People & Body 5
Smileys & Emotion 3
Travel & Places 3
Activities 2
Symbols 1

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