Tweets Analysis - Keyword: @chrisalbon
Overview
Total number of tweets analysed
139
Earliest tweet was on
2023-03-21
Latest tweet was on
2023-03-30
Tweets covering
9 days
Average age of authors' accounts
9 years
Summarization
The tweets cover a range of topics, including humor, data science and analytics, the challenges of parenthood, and warnings about technology and language. Some of the tweets contain jokes or sarcastic remarks, while others offer practical advice or observations about contemporary issues. Overall, the tweets suggest a diverse and dynamic social media environment in which a wide range of opinions and perspectives can be freely expressed, often with humor and wit.
Topic Modeling
- Issues with finances and costs in various scenarios
- Data science and machine learning resources
- Skepticism of language and communication among humans
- Humorous or off-topic remarks
- Technology and platform concerns
Emotional Analysis
The emotions expressed in these tweets are varied and include sarcasm, frustration, amusement, skepticism, and empathy. Some tweet authors express frustration over the cost and time involved in certain tasks, while others make sarcastic or humorous comments. Empathy is also shown, particularly regarding financial difficulties or the challenges of raising children. Skepticism is expressed regarding the reliability of human responses and the existence of certain platforms or technologies. Overall, the tweets represent a mix of emotions and perspectives.
Trend Analysis
- Discussion of waiting lists for something
- Comments about the cost or difficulty of a certain task or service
- Use of humor or pop culture references
- Talking about language and communication
- Data science and machine learning resources
Types of Tweets
Number of Retweets
43
Percentage of total tweets
30%
Number of Original tweets
9
Percentage of total tweets
6%
Number of tweets that contain Mentions
139
Percentage of total tweets
100%
Number of tweets that were Replies
87
Percentage of total tweets
62%
Number of tweets that were Quotes
6
Percentage of total tweets
4%
Number of tweets that contain Hashtags
7
Percentage of total tweets
5%
Top 5 devices used to tweet
Source | Count |
---|---|
Twitter for iPhone | 63 |
Twitter Web App | 48 |
Twitter for Android | 21 |
TweetDeck | 2 |
Twitter for Mac | 2 |
What devices were used to tweet
Top 10 accounts with highest followers count
Username | Name | Bio | Followers count |
---|---|---|---|
molly0xFFF | Molly White | crypto researcher & critic, software engineer, wikipedian β’ @web3isgreat creator β’ fellow @HarvardLIL β’ https://t.co/QPoSP8T1Cf β’ she/her πππ | 102,490 |
peteskomoroch | Pete Skomoroch | Investor. Past: Founder @SkipFlag. EIR @Accel. Data Science & ML @LinkedIn, @AOL & @MIT. Now: AI, Neural Networks, Neuroscience, LifeOps, K-12 Education | 52,600 |
ChelseaParlett | Chelsea Parlett-Pelleriti | Ph.D, stats lover/writerβπΌ, #statistics #scicomm #datascience #statstiktok π©π»βπ» she/her @chelseaparlett@nerdculture.de | 36,120 |
revodavid | @nonfamous@sfba.social David Smith | Cloud Advocate at Microsoft. Tweets about AI, Data Science, R #rstats, culture, politics, gaming. He/him. https://t.co/UOpnXJ0OUe | 31,275 |
deliprao | Delip Rao π₯ | Building @mangomindai. Affiliations: @JHU, @Penn, @UCSC, @Amazon, @Twitter || Art: #NLProc, Vision, Speech, #DeepLearning || Life: ιε , improv, running π | 29,744 |
rachelmetz | Rachel Metz | i write about AI for Bloomberg @Technology. DM for Signal. she/her. tweets delete. opinions my own. not a bot in human form. rmetz17@bloomberg.net (no pitches). | 25,873 |
josh_wills | @jwills@data-folks.masto.host | Working on something old | 17,958 |
PhDemetri | Ph.Demetri | Mathematical bohemian par excellence. | 16,579 |
kane | Kane θ¬ε±ε ― | Compulsive tinkerer. Seed investor https://t.co/GMzaIwkvOX. Gif wrangler @machinepix. | 16,045 |
terronk | Lee Edwards | Chill technical investor and retired t-shirt model. GP at @RootVC. Trustee at @OlinCollege. Pays for Twitter. π³οΈβπ he/him | 15,047 |
Top 10 accounts with highest friends count
Username | Name | Bio | Followers count |
---|---|---|---|
peteskomoroch | Pete Skomoroch | Investor. Past: Founder @SkipFlag. EIR @Accel. Data Science & ML @LinkedIn, @AOL & @MIT. Now: AI, Neural Networks, Neuroscience, LifeOps, K-12 Education | 6,008 |
SuMastodon | Sumanth β‘ | previously: NLP platform @meta. now: Autonomous vehicle ride hailing @zoox UMBC grad π Cryptocurrency enthusiast, food enjoyer | 5,006 |
Adrian_H | Adrian H | Je ne te parle pas, je chante pour moi-mΓͺme, je chante pour moi-mΓͺme! Et je pense! il n'est pas dΓ©fendu de penser! I donβt like bullies. I block anon idiots. | 5,001 |
ayirpelle | priya joseph | geek, entrepreneur, 'I strictly color outside the lines!', opinions r my own indeed. @ayirpelle , universal handle at this time | 4,997 |
jamescham | James Cham | @bloombergbeta; of the San Gabriel Valley; investing in 2030; part of a long approximation process; looking for troublesome ringleaders! | 4,941 |
happybandits | Arjan Haring β€οΈπ’ | bringing fair market ideas to the food, health & energy industry #Jars - @seldondigital - @jadatascience - @0pointseven | 4,849 |
deliprao | Delip Rao π₯ | Building @mangomindai. Affiliations: @JHU, @Penn, @UCSC, @Amazon, @Twitter || Art: #NLProc, Vision, Speech, #DeepLearning || Life: ιε , improv, running π | 4,364 |
nrose | π΅οΈ noah rosenberg πΊ | Co-Founder, CTO of πΊWolf Games π΅οΈ Immersing players in an endless interactive world of crime-solving and investigation. | 3,680 |
rahuldave | Rahul Dave (@rahuldave@sigmoid.social) | Teaches and does Stats, ML and AI. Co-Founder and Chief Scientist https://t.co/EygMgQHg07. Former Lecturer at Harvard and Astrophysicist at Penn. Bayesian. | 3,680 |
rachelmetz | Rachel Metz | i write about AI for Bloomberg @Technology. DM for Signal. she/her. tweets delete. opinions my own. not a bot in human form. rmetz17@bloomberg.net (no pitches). | 3,640 |
Most active users
Username | Bio | Number of tweets |
---|---|---|
SDAIA_KAUST_AI | SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence | 23 |
Inkstall | Installing knowledge since 12 years. Learning is more than absorbing facts, it is acquiring understanding. | 7 |
synrotek | AK founder: building novel software sim to edu & activate about: dictators, corruption, treason, propaganda, climate, long term, logic. ex State Dept contractor | 4 |
mattmayo13 | Sudo Scientist β’ 14k Gold Slum Computer Wizard β’ Editor-in-Chief @kdnuggets β’ #MachineLearning #DataScience #NLProc β’ Memery is the highest form of flattery | 3 |
PhDemetri | Mathematical bohemian par excellence. | 3 |
shallit43 | Grumpy old American mathematician and computer scientist. ErdΓΆs number equals 1. All tweets are my opinion only. Those who respond with "OK .*oomer" get muted. | 3 |
talkdatatomee | #DataScience, #Statistics, #R, #Python #DataViz #MachineLearning #DeepLearning even #MLOps | 2 |
revodavid | Cloud Advocate at Microsoft. Tweets about AI, Data Science, R #rstats, culture, politics, gaming. He/him. https://t.co/UOpnXJ0OUe | 2 |
ChrisMGreer | - | 2 |
GiorgioMantova | - | 2 |
Tweets per day
Top 10 tweets with highest Retweet count
ID | Text | Retweet count |
---|---|---|
1638240304414461952 | You've heard the phrase, "we're standing on the shoulders of giants?" The best resources for #datascience and #machinelearning https://t.co/Q3CEubIPH5 via @TDataScience @karpathy @AISC_TO @distillpub @HelloPaperspace @shortscienceorg @chrisalbon @drivendataorg @jabrils_ | 2 |
1638759676526444551 | @chrisalbon https://t.co/CfoP4dLDMa | 1 |
1641312641732988928 | @pdxweb @ben_levinstein @chrisalbon it will definitely automate more jobs, but we already live in a crazy automated society and there is a lot of weird make work and a lot of other jobs humans must do for many more years. in terms of "intelligence" I don't see how it can do anything other than mimic its inputs | 0 |
1639052850255867905 | @chrisalbon too thicc to fail | 0 |
1638940817137205248 | @chrisalbon Real video, not fake. | 0 |
1638950124519825437 | @chrisalbon Now do SVMs | 0 |
1638950564276113410 | @chrisalbon Knn has a photogenic memory... | 0 |
1638963713255284738 | @chrisalbon tbtf | 0 |
1638971578296967168 | @chrisalbon Keep an eye out for endangered African birds flying around the Bay Area π https://t.co/Ct81plrBog | 0 |
1639004305762942977 | @chrisalbon Now for it to generate really good captions of technical talks by people speaking with an accent from anywhere but the US/UK. To be able to feed it back a partially edited version so it can learn it's mistakes. a use case: a talk about R. I pronounce it as an Irish person (or) | 0 |
Top 10 tweets with highest Like count
ID | Text | Like count |
---|---|---|
1639341041869537281 | @chrisalbon Physics teachers hate kids like you. | 13 |
1638323353001009153 | @chrisalbon I want room-service analytics | 11 |
1640377691521286144 | @chrisalbon here we goππΏ https://t.co/nelCYWXMq2 | 9 |
1638324988796375040 | @chrisalbon @sarahcat21 Takes an hour. Costs way too much. Hidden costs and fees. Sounds about right. https://t.co/Hr4SDfmp3m | 6 |
1638606709815132162 | @chrisalbon You need to sign up for the waiting list(s) - yes, plural: https://t.co/ctHkinN1RO | 6 |
1639222407968837632 | @synrotek @ben_levinstein @chrisalbon Because, as we all know, humans never repeat anything that other humans have said. Every human invents their own language and words, because otherwise they'd just be regurgitating words created by others. | 4 |
1639827141004087297 | @chrisalbon Thought you accidentally touched your yubi key for a second. | 4 |
1640381216628133888 | @chrisalbon https://t.co/ooMVTtNMxt | 4 |
1639267690182332418 | @synrotek @ben_levinstein @chrisalbon There is definitely "there" there, and if you ignore the implications, you do so at your peril. It's going to become more and more of an issue each day. | 3 |
1638240304414461952 | You've heard the phrase, "we're standing on the shoulders of giants?" The best resources for #datascience and #machinelearning https://t.co/Q3CEubIPH5 via @TDataScience @karpathy @AISC_TO @distillpub @HelloPaperspace @shortscienceorg @chrisalbon @drivendataorg @jabrils_ | 3 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
Hashtag | Count |
---|---|
#techtwitter | 3 |
#machinelearning | 3 |
#robotics | 2 |
#reinforcementlearning | 2 |
#ai | 2 |
#datascience | 2 |
#tech | 1 |
#artificialintelligence | 1 |
#thalidomide | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
Mention | Count |
---|---|
@chrisalbon | 139 |
@ben_levinstein | 14 |
@synrotek | 7 |
@shallit43 | 5 |
@antoniogm | 4 |
@kirkdborne | 4 |
@shunley42 | 3 |
@ylecun | 3 |
@andrewyng | 3 |
@elonmusk | 3 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
14
Emojis used in tweets
Emoji | Count | Emoji Text |
---|---|---|
π | 8 | face_with_tears_of_joy |
π΄ | 3 | palm_tree |
π | 2 | eyes |
π₯² | 1 | smiling_face_with_tear |
πΏ | 1 | popcorn |
π | 1 | skull |
β±οΈ | 1 | stopwatch |
π | 1 | face_savoring_food |
π | 1 | see-no-evil_monkey |
β’ | 1 | trade_mark |
Emojis groups
Emoji Group | Count |
---|---|
Smileys & Emotion | 12 |
Animals & Nature | 3 |
People & Body | 2 |
Food & Drink | 1 |
Travel & Places | 1 |
Symbols | 1 |