Mary_Nam - Tweet Data Analysis
Tweets Analysis - Keyword: @Mary_Nam
Overview
Tweets covering
8 days
Latest tweet was on
2023-03-30
Earliest tweet was on
2023-03-21
Total number of tweets analysed
52
Average age of authors' accounts
9 years
Summarization
The tweets are mostly about daily questions and guesses from the KOMO News team and viewers. The questions range from simple tasks like waiting at a red light to more complex decisions like planning a summer vacation or paying bills. There are also some mentions of news events and personal opinions about them.
Topic Modeling
- Guessing games #KOMOQuestion
- Everyday activities
- Opinions on current events/politics
- Remembering past events/TV personalities
- Financial activities/taxes/income
Emotional Analysis
Trend Analysis
- Guessing games as part of the KOMOQuestion segment
- Questions related to daily activities and routines
- Discussion of current events and politics
- Sharing personal stories and experiences
- Comments and opinions on news and 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
7% of total
Number of Original tweets
1
1% of total
Number of tweets that were Quotes
7
13% of total
Number of tweets that were Replies
42
80% of total
Number of tweets that contain Hashtags
12
23% of total
Number of tweets that contain Mentions
52
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 25 |
| Twitter for Android | 16 |
| Twitter for iPhone | 8 |
| TweetDeck | 1 |
| Twitter for iPad | 1 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| ShannonODKOMO | Shannon O'Donnell | Balancing meteorology & mommyhood to bring you forecasts as Chief Meteorologist at @komonews ☀️ @UWAtmosSci Alum/Researcher ⛈ @TheUWDawgcast Adjunct Professor | 14,947 |
| mgarcia1701temp | GarciaMargie | Proud supporter of LEOs,1st responders,military/vets; fmr state JIC Director; Christian;happily married; For God & Country🇺🇸 #OPLive #Turn22to0 | 8,226 |
| sunoppositemoon | deb, venusian edition 🪷 | 🧙🏾♀️ mage of the astral realm |🕯️clarior e tenebris | fiat lux🕯️| on unceded Coast Salish, Stillaguamish, Duwamish, Muckleshoot, and Suquamish territories | 2,040 |
| justAfanDavid | david doll | If I have seen further it is by standing on the shoulders of giants-Newton. Engineer, writer, analyst, program/project mgr and naturally curious. | 2,021 |
| ntoddpax | NTodd Official 🇺🇦 | Lo alecha ha’melacha ligmor, v’lo ata ben horin l’hibatel mi’mena. | Proud graduate of the University of Woolamaloo | he/him | 1,283 |
| Everett74708702 | Everett, West Seattle | Independent thinker with an opinion. Conservative #AmericaFirst | 1,282 |
| SmilingDeDe | DeDe Herbert 🇺🇸🇺🇦🌻🙋🏾♀️🌦🌧❄️❄️🎄☕❤🙏🏾 | Namaste. I smile a lot. #Seahawks. #LifeIsGood. #PNW #Pluviophile. Be Kind, Be Positive, It's Free! Sapiosexual. Optimist #PracticeGratitude. Peace, Light, Love | 1,114 |
| number1slacker1 | John Dove | I help promote bands/artists music through social media with #SlackerApproved. Follow me for the latest new music. If you're a musician feel free to tag me! | 1,024 |
| Ary12834200 | Ary | Sola Scriptura. Married to my Best Friend. John 16:33. Here to have productive conversation, not here to insult, mock or troll. | 875 |
| MySeattleNews | My Seattle News | Seattle Area News Coverage: @KING5Seattle @KOMONEWS @NWCN @KIRO7Seattle @Q13Fox | 831 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| mgarcia1701temp | GarciaMargie | Proud supporter of LEOs,1st responders,military/vets; fmr state JIC Director; Christian;happily married; For God & Country🇺🇸 #OPLive #Turn22to0 | 8,497 |
| ntoddpax | NTodd Official 🇺🇦 | Lo alecha ha’melacha ligmor, v’lo ata ben horin l’hibatel mi’mena. | Proud graduate of the University of Woolamaloo | he/him | 4,919 |
| justAfanDavid | david doll | If I have seen further it is by standing on the shoulders of giants-Newton. Engineer, writer, analyst, program/project mgr and naturally curious. | 3,888 |
| stevebraicks | Steve Braicks | be sure to check out my twitter as I occasionally post deadliest catch stuff and I also enjoy 90s country music. | 3,129 |
| ShannonODKOMO | Shannon O'Donnell | Balancing meteorology & mommyhood to bring you forecasts as Chief Meteorologist at @komonews ☀️ @UWAtmosSci Alum/Researcher ⛈ @TheUWDawgcast Adjunct Professor | 2,188 |
| sho_of_hands | s.m. | - | 1,863 |
| Catselan | Kitara Feline | Space/income investor, UW Dawg Fan, TB racing follower, news junkie, love all animals, especially cats. Resister! | 1,708 |
| kitteehawk57 | CindyM🧡🖤💙💚💛🇺🇲🇺🇦 | !NOT Looking for Love! Oklahoma State University Alum, Seattle Sports Fan | 1,691 |
| SmilingDeDe | DeDe Herbert 🇺🇸🇺🇦🌻🙋🏾♀️🌦🌧❄️❄️🎄☕❤🙏🏾 | Namaste. I smile a lot. #Seahawks. #LifeIsGood. #PNW #Pluviophile. Be Kind, Be Positive, It's Free! Sapiosexual. Optimist #PracticeGratitude. Peace, Light, Love | 1,564 |
| sunoppositemoon | deb, venusian edition 🪷 | 🧙🏾♀️ mage of the astral realm |🕯️clarior e tenebris | fiat lux🕯️| on unceded Coast Salish, Stillaguamish, Duwamish, Muckleshoot, and Suquamish territories | 1,425 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| ShannonODKOMO | Balancing meteorology & mommyhood to bring you forecasts as Chief Meteorologist at @komonews ☀️ @UWAtmosSci Alum/Researcher ⛈ @TheUWDawgcast Adjunct Professor | 8 |
| BarryBFritz | I was J. P. Patche's nose guy (I made his custom rubber noses from 2004 until 2012) ...and retired Boeing. | 7 |
| Everett74708702 | Independent thinker with an opinion. Conservative #AmericaFirst | 5 |
| ghalbert6 | FANtastic | 3 |
| Natercom | Pac northwest native. Enjoy following most team sports. Seahawks, Mariners, Ducks, Kraken. Golfaholic. Love to travel. NW red wine is my go-to! | 2 |
| number1slacker1 | I help promote bands/artists music through social media with #SlackerApproved. Follow me for the latest new music. If you're a musician feel free to tag me! | 2 |
| srta_mar | Maestra de español, establecida 1999. Gymnastics Fan. Listening, learning, growing. Life is happening now! Let's go! | 1 |
| sho_of_hands | - | 1 |
| roguesportsfan | - | 1 |
| justAfanDavid | If I have seen further it is by standing on the shoulders of giants-Newton. Engineer, writer, analyst, program/project mgr and naturally curious. | 1 |
Tweets Per Day
Top 10 Tweets by Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1639062911414067205 | And the answer was: waiting at a red light. @Mary_Nam said "waiting in traffic," so I'd say she got it right today! https://t.co/qwQSh7vzVt | 2 |
| 1640499645582540800 | Our Monday #KOMOQuestion: I threw out "their middle name," but that can't be right. @Mary_Nam said "their parallel parking skills." So true! Easy to do when nobody's looking, but much … | 1 |
| 1640861157308223488 | Our Tuesday #KOMOQuestion: @Mary_Nam thought it might be "going out to eat," and I said "going on vacation." What's your guess? #QOTD https://t.co/wHrL0Ob5vr | 1 |
| 1641333921681125377 | @ShannonODKOMO @Mariners @TMobilePark @komonews @ShannonODKOMO are you related to @Mary_Nam . | 0 |
| 1638611490944217088 | @ShannonODKOMO @Mary_Nam Friends | 0 |
| 1639415462512726017 | @ShannonODKOMO @Mary_Nam Doing their taxes 💰 | 0 |
| 1639413695804760065 | Our Friday #KOMOQuestion: @Mary_Nam and I immediately said, "plan their summer vacation." What do you think? #QOTD https://t.co/LYL2sFY2Qg | 0 |
| 1639104023109447681 | @ShannonODKOMO @Mary_Nam @Mary_Nam WOO HOO Mary! | 0 |
| 1639103779835629569 | @ShannonODKOMO @Mary_Nam I was late, but I got it right! :O) | 0 |
| 1638846039506690050 | @Mary_Nam Arrest vagrants. | 0 |
Top 10 Tweets by Likes
| ID | Text | Like count |
|---|---|---|
| 1640499645582540800 | Our Monday #KOMOQuestion: I threw out "their middle name," but that can't be right. @Mary_Nam said "their parallel parking skills." So true! Easy to do when nobody's looking, but much … | 10 |
| 1639062911414067205 | And the answer was: waiting at a red light. @Mary_Nam said "waiting in traffic," so I'd say she got it right today! https://t.co/qwQSh7vzVt | 8 |
| 1640861157308223488 | Our Tuesday #KOMOQuestion: @Mary_Nam thought it might be "going out to eat," and I said "going on vacation." What's your guess? #QOTD https://t.co/wHrL0Ob5vr | 7 |
| 1638325639739740161 | Our Tuesday #KOMOQuestion: @Mary_Nam and I both agreed it was "paying the bills." What's your guess? #QOTD https://t.co/wN2sEIRQK3 | 6 |
| 1641222619679580167 | Our Wednesday #KOMOQuestion: @Mary_Nam thought it might be "taking music lessons" and I said, "watching professional sports," as I can't get my daughter into that quite yet. What's your answer? … | 5 |
| 1639413695804760065 | Our Friday #KOMOQuestion: @Mary_Nam and I immediately said, "plan their summer vacation." What do you think? #QOTD https://t.co/LYL2sFY2Qg | 4 |
| 1638681488303747073 | @komonews The WiFi Password @ShannonODKOMO @Mary_Nam @komoquestion #QOTD https://t.co/Z4F9DPby9b | 3 |
| 1639423646988124161 | @ShannonODKOMO @Mary_Nam #QOTD taxes | 2 |
| 1638276298572455936 | @Mary_Nam @komonews Every time I see Trudy, I remember when she lied about cutting her husband’s hair during the discriminatory lockdown. My sister caught on very quickly, she actually cuts … | 2 |
| 1638326263063674882 | @ShannonODKOMO @Mary_Nam #QOTD @komonews @ShannonODKOMO Deciding what's for dinner for the day or any meal for that matter! lol | 2 |
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #qotd | 11 |
| #komoquestion | 9 |
| #qftd | 1 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @mary_nam | 53 |
| @shannonodkomo | 37 |
| @komonews | 10 |
| @mariners | 1 |
| @tmobilepark | 1 |
| @vasanta_sena | 1 |
| @komoquestion | 1 |
| @number1slacker1 | 1 |
| @ary12834200 | 1 |
Wordcloud of Tweets
Emoji Analysis
Average emojis per tweet:
5
Emojis Used
| Emoji | Count | Emoji Text |
|---|---|---|
| 🤣 | 1 | rolling_on_the_floor_laughing |
| 👍 | 1 | thumbs_up |
| 💰 | 1 | money_bag |
Emoji Groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 1 |
| People & Body | 1 |
| Objects | 1 |
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