KindaHagi - Tweet Data Analysis
Tweets Analysis - Keyword: @KindaHagi
Published March 9, 2023
Overview
Tweets covering
10 days
Latest tweet was on
2023-02-19
Earliest tweet was on
2023-02-09
Total number of tweets analysed
493
Average age of authors' accounts
9 years
Summarization
KindaHagi talks about professional sports trades, such as when people have to move from one city to another. They compare it to other occupations and mention how the money in sports makes it easier for someone leaving a team. They also offer ideas for how these people could stay in touch, such as sharing one pair of pants, and ponder if it hurts their feelings to leave and leave their friends behind. Lastly, they talk about the movie A League of Their Own, where a character is traded from one team to another.
Topic Modeling
- Sports Drafts and Trades
- Diabetes
- Friendships and Connections
- Role of Money
- Living in Different Cities
Emotional Analysis
The emotions expressed in these tweets range from sadness to amusement. There is an overall sentiment of sympathy for athletes who are traded and have to leave their friends behind, as well as an appreciation for the ways coaches and teams try to make the transition easier for them. There is also a sense of wonder at the concept of being traded and having to move to a new city, and a sense of humor in the idea of athletes sharing the same pair of pants.
Trend Analysis
- Drafts and trading - how they happen in different sports, and how it affects those affected by it
- Sports trips and the relationships between players on the same team
- Geographic locations of teams and the effects on players and families
- Money in sports and how it affects motivation/morale
- The implications of sports trading, such as leaving friends behind
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
69
13% of total
Number of Original tweets
5
1% of total
Number of tweets that were Quotes
11
2% of total
Number of tweets that were Replies
419
84% of total
Number of tweets that contain Hashtags
4
0% of total
Number of tweets that contain Mentions
493
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter for iPhone | 323 |
| Twitter Web App | 91 |
| Twitter for Android | 73 |
| Twitter for iPad | 5 |
| SC Testing | 1 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| samsanders | Sam Sanders | Texan. Procrastinator. Loud. I host TWO weekly podcasts: Into It from @vulture & @nymag and Vibe Check from @stitcher. Former* @NPR Reps: @unitedtalent | 198,190 |
| helen | helen | writer. alt - @violentlyepic | 155,898 |
| PallaviGunalan | i can be your long lost pal | free tutoring for Black students - DM writer for lovett or leave it with @crookedmedia producer of @citycounselshow and @facialreccomedy | 94,635 |
| BrotiGupta | broti gupta | Simpsons writer AI composite of six different concepts for woman https://t.co/5I6PCj7FlM | 90,905 |
| ayoedebiri | Ayo Edebiri | Showrunner of The Kominksy Method -- now streaming on Netflix, Vudu, and the ITV app. | 85,383 |
| ChantayyJayy | CEO of Yelling FRSA | Host of @guardian Pop Culture Podcast Writer, content creator & bad bish let’s connect: [email protected] MGMT: [email protected] | 65,655 |
| hotdocs | Hot Docs | NA's largest doc fest, conference & market! We own & operate @HotDocsCinema & run @HotDocsIndustry & @DocsForSchools. Celebrating 30 years: Apr 27–May 7, 2023 | 61,973 |
| offbeatorbit | Ashley Reese | Writer. Widow. Sell-out. Hates mint chocolate. Got the girlies pressed. May or may not be notable. #fuckcancer. Past: @netflix @jezebel | 54,034 |
| saylahachey | Sayla | Please Google Sayla Hachey to find me if you ever lose me because I don’t want to stay lost, love! @shessofunnypb (she/her) 🐢Hachey for Hashish🍀 | 49,065 |
| imraansiddiqi | Imraan Siddiqi | Executive Director @cairwashington. Views are my own. | 48,552 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| saylahachey | Sayla | Please Google Sayla Hachey to find me if you ever lose me because I don’t want to stay lost, love! @shessofunnypb (she/her) 🐢Hachey for Hashish🍀 | 51,003 |
| hellotorifletch | Tori Fletcher | Honestly, if it were “raining men” Hallelujah wouldn’t be the word that came to mind | Part Antagonist, Part Protagonist | Usually Making Fun of my Husband | 9,947 |
| SaveWildBees | Sheila Colla, Ph.D | Associate Prof @YorkUEUC Research Chair Interdisciplinary Conservation Sci @LiberEroFellows alum #AcademicMama #MarginSci #GND #BEY4All She/Her | 5,858 |
| sustainbytrain | No Justice No Peace☆Not a moment, a movement | she/her Everything is connected. Fighting 4 circular, justice & resource based economy NOW. #womeninconstruction anonymous bc current harraser | 5,002 |
| andyborewall | 🌱andyborewall | seeker/visionary/artist/hack https://t.co/K7MlV2xpqe https://t.co/2kG0n3LVSE | 5,001 |
| danikaalways | dani 👑 | “Swear to be overdramatic and true to my lover ”✨🌸🏳️🌈🌈❤️. the 90s spit me out but the 2000s raised me she/her. lesbian. | 5,001 |
| Voici_Mme_B | (((Pia))) | Daughter of a refugee, interested in current events, grassroots engagement in unions, language(s), intersectional feminism & hangin' out with cuddly creatures | 5,001 |
| MikeDrewWhat | Michael Drew 🍻🍻 | Petroleum-powered leaf blower. Woke and anti- Woke. Trying to de-correlate political views linked by tribal influence. Blocked by Musk since 2015. Stay jaunty. | 4,996 |
| SilvermanJacob | Jacob Silverman | Writer Tech, crypto, illicit finance, politics, corruption DMs open (ok but not secure) [email protected] (better) Signal: 1-310-713-2739 (best) | 4,933 |
| robynsch | Robyn Schwarz - @feministrobyn on #Spoutible | Feminist writer and activist for #ReproductiveJustice. PhD (ABD) in #cdnhist. Accessible and Inclusive Comms. Non-Profit Human. #ADHD. Profile pic @liberaljanee | 4,931 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| BrotiGupta | Simpsons writer AI composite of six different concepts for woman https://t.co/5I6PCj7FlM | 13 |
| saylahachey | Please Google Sayla Hachey to find me if you ever lose me because I don’t want to stay lost, love! @shessofunnypb (she/her) 🐢Hachey for Hashish🍀 | 5 |
| steelplatedrose | Nerdy fashionista. Passionate about food & housing equity. Loving God, enjoying life & chasing the moment! | 4 |
| Basic_Chunnel | John WM Thompson. Essays, once, but now fiction: Nocturne, Fusion Fragment. Forthcoming in: Aurealis. Proprietor @no_publishing. My views are extremely good | 4 |
| polishbongwater | anti-white supremacist. he/him | 4 |
| aliepascale | I’m boring now. | 3 |
| _babytm | can't wait to marry Andy Samberg | 3 |
| HoeyRobert | ''Diamonds colder than a glacier Ballin' harder than the Pacers''. Also boom baby 😎 | 3 |
| helen | writer. alt - @violentlyepic | 3 |
| alinanvjsmom | SAHM to 4 beautiful kids Vincent Jr(21), Alina(16), Mateo(11), and Elihu(6). wife of @vperry111 | 3 |
Tweets Per Day
Top 10 Tweets by Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1623672912904441856 | @KindaHagi Mandating all trades happen in pairs like guinea pigs so they don't get sad and lonely | 123 |
| 1623728002696609792 | @KindaHagi When I was a kid I thought that the NFL or NBA draft was like a military draft and that some guys in uniform would just show up one … | 37 |
| 1623792867154993163 | @KindaHagi https://t.co/BHaqUnCPBN | 35 |
| 1623752742471704576 | @KindaHagi I still remember the day young me found out that everybody on the team isn’t actually from the city they play for 😭 | 15 |
| 1623767262774566915 | @KindaHagi the coach takes them out for special ice cream when they are sad about it | 11 |
| 1626873534046674945 | @KindaHagi @vinn_ayy Cause she got diabetes. | 6 |
| 1623917077957582848 | @KindaHagi https://t.co/c8wZNFREpg | 5 |
| 1623858576719593473 | @KindaHagi Wouldn’t it be wild if other jobs were like that? Hey, you’ve been traded to the to the Chicago Sun Times. Pack up your stuff! | 3 |
| 1624037411150856192 | @KindaHagi LMAO this is probably how they leave their friends https://t.co/fAWvEkh36X | 3 |
| 1623851996842172419 | @KindaHagi They all stay in touch by sharing the same pair of pants that somehow fit them all | 2 |
Top 10 Tweets by Likes
| ID | Text | Like count |
|---|---|---|
| 1623792867154993163 | @KindaHagi https://t.co/BHaqUnCPBN | 5,069 |
| 1623672912904441856 | @KindaHagi Mandating all trades happen in pairs like guinea pigs so they don't get sad and lonely | 3,821 |
| 1623728002696609792 | @KindaHagi When I was a kid I thought that the NFL or NBA draft was like a military draft and that some guys in uniform would just show up one … | 1,113 |
| 1626873534046674945 | @KindaHagi @vinn_ayy Cause she got diabetes. | 1,105 |
| 1623752742471704576 | @KindaHagi I still remember the day young me found out that everybody on the team isn’t actually from the city they play for 😭 | 1,038 |
| 1623767262774566915 | @KindaHagi the coach takes them out for special ice cream when they are sad about it | 920 |
| 1623570095954964480 | @KindaHagi I bet if you moved to Phoenix you could become KD’s friend. He’s gonna need some new ones in a new city. | 476 |
| 1623803273709867010 | @KindaHagi @rachelreh pat bev got traded 12 hours after this tweet…not always unfortunately https://t.co/7xCn2YLP8x | 332 |
| 1623858576719593473 | @KindaHagi Wouldn’t it be wild if other jobs were like that? Hey, you’ve been traded to the to the Chicago Sun Times. Pack up your stuff! | 316 |
| 1623597907256696832 | @KindaHagi They get to go on little sports trips to see their friends! | 277 |
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #nottodaysatan | 1 |
| #bey | 1 |
| #scamfleuncers | 1 |
| #3 | 1 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @kindahagi | 493 |
| @vinn_ayy | 31 |
| @rachelreh | 23 |
| @himanshu | 21 |
| @brotigupta | 16 |
| @nicholas_janzen | 16 |
| @laughatmolly | 11 |
| @samer | 8 |
| @cracksandwich58 | 8 |
| @jaybigglesworth | 7 |
Wordcloud of Tweets
Emoji Analysis
Average emojis per tweet:
21
Emojis Used
| Emoji | Count | Emoji Text |
|---|---|---|
| 😂 | 32 | face_with_tears_of_joy |
| 😭 | 14 | loudly_crying_face |
| 🤣 | 14 | rolling_on_the_floor_laughing |
| ❤️ | 7 | red_heart |
| 😔 | 4 | pensive_face |
| 🥲 | 3 | smiling_face_with_tear |
| 💀 | 2 | skull |
| 🥺 | 2 | pleading_face |
| 🙏 | 2 | folded_hands |
| 😅 | 1 | grinning_face_with_sweat |
Emoji Groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 93 |
| People & Body | 7 |
| Objects | 1 |
| Activities | 1 |
| Flags | 1 |
| Symbols | 1 |
| Travel & Places | 1 |
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