Tweets Analysis - Keyword: @starisbornmovie
Overview
Total number of tweets analysed
4
Earliest tweet was on
2023-03-17
Latest tweet was on
2023-03-24
Tweets covering
6 days
Average age of authors' accounts
3 years
Summarization
One person watched "A Star is Born" and was impressed with the film, score, and performances, and was surprised by a plot twist. Another person mentions the last three movies they saw in theaters were "A Star is Born," "House of Gucci," and "Meet M3GAN."
Topic Modeling
- Movie watching experience
- Appreciation for A Star is Born
- Emotional response to plot twist
- Overall performance of actors and score
- Mentions of other movies
Emotional Analysis
The tweets express strong emotions of admiration and surprise towards the film 'A Star is Born'. The first tweet expresses how the viewer was blown away by the film's plot twist and the performances of the actors. The second tweet mentions that the viewer has seen the film three times in theaters along with other emotional films. These tweets show how the film evokes positive emotions in the viewers and leaves a lasting impact on them.
Trend Analysis
- Appreciation for the movie "A Star is Born", including praise for the performances and score
- Surprise and emotional reaction to a plot twist in the movie
- Mention of recent movie theater experiences, including "A Star is Born"
- Interest in other movies, such as "House of Gucci" and "Meet M3GAN"
- Mentions of personal circumstances, such as having a child-free and husband-free afternoon to enjoy a movie
Types of Tweets
Number of Retweets
2
Percentage of total tweets
50%
Number of Original tweets
2
Percentage of total tweets
50%
Number of tweets that contain Mentions
4
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
1
Percentage of total tweets
25%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter for iPhone | 3 |
| Twitter Web App | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| LilyXmaja | Lily ๐ฎ | A lily or a rose never pretends, and its beauty is that it is what it is. #bnb #btc #eth #nft #web3 | 4,980 |
| iammarsamarna | marna ZARMANI๐ | I am ๐๐โ๐ผ ๐๐ฆแตยฎ๐๐โข โข famous Bjรถrk Apologist โข Lady Gagaist โข fan account / famous popstar | 212 |
| James100Jay | Jay ๐ฉ๐ผโ๐ป๐ช๐บ๐ณ๏ธโ๐๐บ๐ฆ๐ | Life is short. Live, travel, take pictures, support others. Donโt settle for poor coffee, cheap wine or this complete failure of a Tory government ๐คฆ๐ผโโ๏ธ #FBPE | 195 |
| aminner99 | Alex | #ringthebell #flyeaglesfly | 17 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| iammarsamarna | marna ZARMANI๐ | I am ๐๐โ๐ผ ๐๐ฆแตยฎ๐๐โข โข famous Bjรถrk Apologist โข Lady Gagaist โข fan account / famous popstar | 873 |
| James100Jay | Jay ๐ฉ๐ผโ๐ป๐ช๐บ๐ณ๏ธโ๐๐บ๐ฆ๐ | Life is short. Live, travel, take pictures, support others. Donโt settle for poor coffee, cheap wine or this complete failure of a Tory government ๐คฆ๐ผโโ๏ธ #FBPE | 376 |
| aminner99 | Alex | #ringthebell #flyeaglesfly | 71 |
| LilyXmaja | Lily ๐ฎ | A lily or a rose never pretends, and its beauty is that it is what it is. #bnb #btc #eth #nft #web3 | 57 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| James100Jay | Life is short. Live, travel, take pictures, support others. Donโt settle for poor coffee, cheap wine or this complete failure of a Tory government ๐คฆ๐ผโโ๏ธ #FBPE | 1 |
| LilyXmaja | A lily or a rose never pretends, and its beauty is that it is what it is. #bnb #btc #eth #nft #web3 | 1 |
| aminner99 | #ringthebell #flyeaglesfly | 1 |
| iammarsamarna | I am ๐๐โ๐ผ ๐๐ฆแตยฎ๐๐โข โข famous Bjรถrk Apologist โข Lady Gagaist โข fan account / famous popstar | 1 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1637180597192753154 | @starisbornmovie Finally watched this today as I had a child & husband free afternoon to put my feet up and watch a movie of my choice on full surround sound. Wow, what a film, what a score and no one prepared me for that plot twist ๐ญ fabulous performances ๐ถ๐ค | 0 |
| 1636861039869321217 | The last three movies I saw in theater were @starisbornmovie (thrice), @HouseOfGucciMov , and @meetM3GAN ๐ญ | 0 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1637180597192753154 | @starisbornmovie Finally watched this today as I had a child & husband free afternoon to put my feet up and watch a movie of my choice on full surround sound. Wow, what a film, what a score and no one prepared me for that plot twist ๐ญ fabulous performances ๐ถ๐ค | 0 |
| 1636861039869321217 | The last three movies I saw in theater were @starisbornmovie (thrice), @HouseOfGucciMov , and @meetM3GAN ๐ญ | 0 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #astarisborn | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @starisbornmovie | 4 |
| @houseofguccimov | 1 |
| @meetm3gan | 1 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
100
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| ๐ญ | 2 | loudly_crying_face |
| ๐ถ | 1 | musical_notes |
| ๐ค | 1 | microphone |
Emojis groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 2 |
| Objects | 2 |