AACTA - Tweet Data Analysis

Tweets Analysis - Keyword: @AACTA

Published April 6, 2023

Overview

Tweets covering

4 days

Latest tweet was on

2023-03-29

Earliest tweet was on

2023-03-24

Total number of tweets analysed

9

Average age of authors' accounts

6 years

Summarization

The first tweet expresses admiration for the film Joeledgerton1 and compares the protagonist to Robin Hood. The second tweet compliments the screening of ElvisMovie and praises the growth of the film industry in QLD. The third and fourth tweets appear to be discussing a separate event or program, with references to Hard Quiz and a montage show in Vegas. The final tweet asks how much of a movie someone was able to watch before rain interrupted their viewing.

Topic Modeling

  • Ned Kelly and heroism
  • Positive feedback for Australian film industry and filmmakers
  • Disappointment for missing out on a screening
  • Humorous anecdotes related to the event
  • Discussion of weather during the event

Emotional Analysis

The first tweet expresses admiration for a film and its protagonist, seeing the character as a symbol of hope and resistance. The second tweet expresses enthusiasm for a movie screening and highlights the growth of the film industry in a particular region, despite obstacles like rain. The third and fourth tweets express disappointment at missing out on a certain event or moment depicted on TV, with a slightly sarcastic tone. The last tweet asks a question about someone else's experience of a film in relation to rainy weather. Overall, the emotions expressed range from appreciation and excitement to disappointment and curiosity.

Trend Analysis

Positive reviews of Australian film industry and specific films shown at events Discussion of Australian Academy of Cinema and Television Arts (AACTA) and events associated with it Appreciation for film heroes and their fight against oppression Disappointment with missed opportunities to see certain films or events Comments on weather conditions during events

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

4

44% of total

Number of Original tweets

1

11% of total

Number of tweets that were Quotes

0

0% of total

Number of tweets that were Replies

4

44% of total

Number of tweets that contain Hashtags

5

55% of total

Number of tweets that contain Mentions

9

100% of total

Devices Used to Tweet

Top 5 Devices

Source Count
Twitter for iPhone 5
Twitter for iPad 2
Twitter Web App 2

Device Distribution

Devices used to tweet

Top 10 Accounts by Followers

Username Name Bio Followers count
MaryKayH188 Mary KayπŸ¦‹ A villager who is inspired in so many ways. Lift your eyes, there's a fire in the sky you thought had died... 1,965
FinalGirlChloe Chloe Jones Fruity filmmaker who likes spooky things πŸ₯€ Co-Founder/Producer: @RedlightProdCo #PARRAdise πŸ’™πŸ’› πŸ‘‘#TaylorSwift #NiallerπŸ‘‘ 350
ElenaVitaH Heath Ledger/Legend - 280
Ssamzac Failed Rockstar 🎸 - 172
MarottaMaddie Maddie Marotta friends family Austin bulter 34
MekhiLong5 Mekhi Long - 0

Top 10 Accounts by Friends

Username Name Bio Followers count
FinalGirlChloe Chloe Jones Fruity filmmaker who likes spooky things πŸ₯€ Co-Founder/Producer: @RedlightProdCo #PARRAdise πŸ’™πŸ’› πŸ‘‘#TaylorSwift #NiallerπŸ‘‘ 1,273
MaryKayH188 Mary KayπŸ¦‹ A villager who is inspired in so many ways. Lift your eyes, there's a fire in the sky you thought had died... 718
Ssamzac Failed Rockstar 🎸 - 620
MarottaMaddie Maddie Marotta friends family Austin bulter 147
ElenaVitaH Heath Ledger/Legend - 26
MekhiLong5 Mekhi Long - 4

Most Active Users

Username Bio Number of tweets
FinalGirlChloe Fruity filmmaker who likes spooky things πŸ₯€ Co-Founder/Producer: @RedlightProdCo #PARRAdise πŸ’™πŸ’› πŸ‘‘#TaylorSwift #NiallerπŸ‘‘ 2
MarottaMaddie friends family Austin bulter 2
Ssamzac - 2
ElenaVitaH - 1
MaryKayH188 A villager who is inspired in so many ways. Lift your eyes, there's a fire in the sky you thought had died... 1
MekhiLong5 - 1

Tweets Per Day

Tweets per day chart

Top 10 Tweets by Retweets

ID Text Retweet count
1640526147497742336 @AACTA @joeledgerton1 That was a really great film. Ned was like Robin Hood. Everyone needs to believe in a hero that fights against oppression. 0
1639605753504993280 @FinalGirlChloe @AACTA I was inside for Hard Quiz. Saw it coming. What a shame. 0
1639600377350979586 Awesome screening of @ElvisMovie at #HOTA tonight!! Thankyou for being a great host @linc_lewis. Twas awesome getting to see some of the creatives behind it. As an Aussie filmmaker I … 0
1639593046970097665 @Ssamzac @AACTA Well I stayed up until his big montage show in Vegas after the Colonel shafted him. Started to pour down then, haha. 0
1639590930448789507 @FinalGirlChloe @AACTA How far into the movie did you get before the rain? 0

Top 10 Tweets by Likes

ID Text Like count
1640526147497742336 @AACTA @joeledgerton1 That was a really great film. Ned was like Robin Hood. Everyone needs to believe in a hero that fights against oppression. 1
1639600377350979586 Awesome screening of @ElvisMovie at #HOTA tonight!! Thankyou for being a great host @linc_lewis. Twas awesome getting to see some of the creatives behind it. As an Aussie filmmaker I … 1
1639605753504993280 @FinalGirlChloe @AACTA I was inside for Hard Quiz. Saw it coming. What a shame. 0
1639593046970097665 @Ssamzac @AACTA Well I stayed up until his big montage show in Vegas after the Colonel shafted him. Started to pour down then, haha. 0
1639590930448789507 @FinalGirlChloe @AACTA How far into the movie did you get before the rain? 0

Top Languages Used

Languages used in tweets

Top 10 Hashtags

Hashtag Count
#elvis 2
#austinbutler 1
#otd 1
#heathledger 1
#orlandobloom 1
#naomiwatts 1
#hota 1
#theson 1
Top hashtags

Top 10 Mentions

Mention Count
@aacta 9
@joeledgerton1 2
@finalgirlchloe 2
@elvismovie 1
@linc_lewis 1
@ssamzac 1
@realhughjackman 1
Top mentions

Wordcloud of Tweets

Wordcloud of tweets

Emoji Analysis

Average emojis per tweet:

55

Emojis Used

Emoji Count Emoji Text
πŸ™Œ 1 raising_hands
🎬 1 clapper_board
πŸ‘ 1 clapping_hands
🎞️ 1 film_frames
β˜” 1 umbrella_with_rain_drops

Emoji Groups

Emoji Group Count
People & Body 2
Objects 2
Travel & Places 1

Need Custom Twitter Data Analysis?

Get detailed insights on any keyword, hashtag, or account with twtData.

Get Started