NetflixEng - Tweet Data Analysis
Tweets Analysis - Keyword: @NetflixEng
Published March 8, 2023
Overview
Tweets covering
9 days
Latest tweet was on
2023-02-21
Earliest tweet was on
2023-02-12
Total number of tweets analysed
9
Average age of authors' accounts
10 years
Summarization
NetflixEng recently posted an article about using machine learning for media assets and the infrastructure components to address them. Twitter users shared their response with comments about the article, their experiences and suggestions. An idea was inceptioned by @jordwalke, which was supported by @sophiebits, and ultimately betted on by @NetflixEng.
Topic Modeling
- Machine Learning
- Metadata
- Content Discovery
- OTT
- High Requests Projects
Emotional Analysis
The tweets express a range of emotions, from enthusiasm and excitement to curiosity and admiration. The first tweet is an announcement of a new article by @NetflixEng, which is met with great enthusiasm and appreciation. The second tweet is full of curiosity, as the reader is asking for hints and advice on how to access Netflix content metadata. The third tweet is a confirmation from @slederer. The fourth tweet is a suggestion from @nathsouzadev to @omariosouto, and the fifth tweet is a recommendation of @NetflixEng and @Shopify for more advanced blog posts. The last tweet expresses admiration for the people involved in the idea-inception of flux, as well as appreciation for @NetflixEng's bet on React.
Trend Analysis
- Machine Learning
- Media Assets
- Content Discovery
- Streaming & Metadata
- OTT Platforms and Infrastructure
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
2
22% of total
Number of Original tweets
2
22% of total
Number of tweets that were Quotes
0
0% of total
Number of tweets that were Replies
5
55% of total
Number of tweets that contain Hashtags
1
11% of total
Number of tweets that contain Mentions
9
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 6 |
| Twitter for iPhone | 2 |
| TweetDeck | 1 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| VKazulkin | 💙💛 Vadym Kazulkin 🇺🇦 | 💙💛 Husband, papa of 3 & speaker.❤️ #Java & #Serverless & #AWS. 👨💻 @iplabsDE. Co-Org @JUGBonn. On intersection of people, business & technology. | 25,993 |
| rseroter | Richard Seroter | Sharing tech ideas from people smarter than me. Director of DevRel and Outbound Product Management at @googlecloud, @pluralsight trainer, writer, speaker. | 19,301 |
| glaucia_lemos86 | Glaucia Lemos 🦝 | Developer Advocate in JavaScript - DevRel at @Microsoft | Contributor & Member React Community | OSS | Geek Girl | Opinions on my own | 13,395 |
| jenil777007 | Jenil is looking for engineering roles | tech stuff @weareservian 🇮🇳 🌏 | 463 |
| _Sayeed_Ahmed | Sayeed Ahmed | - | 66 |
| April80112454 | April | - | 32 |
| igbekele | I | - | 20 |
| airontadane | 😌Anthony | 29 y.o🎮Gaming lover | 0 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| VKazulkin | 💙💛 Vadym Kazulkin 🇺🇦 | 💙💛 Husband, papa of 3 & speaker.❤️ #Java & #Serverless & #AWS. 👨💻 @iplabsDE. Co-Org @JUGBonn. On intersection of people, business & technology. | 4,967 |
| jenil777007 | Jenil is looking for engineering roles | tech stuff @weareservian 🇮🇳 🌏 | 2,380 |
| rseroter | Richard Seroter | Sharing tech ideas from people smarter than me. Director of DevRel and Outbound Product Management at @googlecloud, @pluralsight trainer, writer, speaker. | 1,324 |
| glaucia_lemos86 | Glaucia Lemos 🦝 | Developer Advocate in JavaScript - DevRel at @Microsoft | Contributor & Member React Community | OSS | Geek Girl | Opinions on my own | 955 |
| April80112454 | April | - | 613 |
| _Sayeed_Ahmed | Sayeed Ahmed | - | 486 |
| igbekele | I | - | 389 |
| airontadane | 😌Anthony | 29 y.o🎮Gaming lover | 0 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| glaucia_lemos86 | Developer Advocate in JavaScript - DevRel at @Microsoft | Contributor & Member React Community | OSS | Geek Girl | Opinions on my own | 2 |
| April80112454 | - | 1 |
| VKazulkin | 💙💛 Husband, papa of 3 & speaker.❤️ #Java & #Serverless & #AWS. 👨💻 @iplabsDE. Co-Org @JUGBonn. On intersection of people, business & technology. | 1 |
| _Sayeed_Ahmed | - | 1 |
| airontadane | 29 y.o🎮Gaming lover | 1 |
| igbekele | - | 1 |
| jenil777007 | tech stuff @weareservian 🇮🇳 🌏 | 1 |
| rseroter | Sharing tech ideas from people smarter than me. Director of DevRel and Outbound Product Management at @googlecloud, @pluralsight trainer, writer, speaker. | 1 |
Tweets Per Day
Top 10 Tweets by Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1628143392260599819 | @slederer @netflix Can confirm @netflix @NetflixEng | 0 |
| 1628048812529926147 | @nathsouzadev @omariosouto @NetflixEng @Shopify E, se onde você trabalha aplica algo mais avançado, recomendo sugerir internamente um blog explicando como foi criado algumas complexidades e coisas mais avançadas. O problema … | 0 |
| 1628048270973890566 | @nathsouzadev @omariosouto A qual tinha umas palestras de aplicações de altas requisicoes de projetos e empresas e vinhamos. Mas como não tem mais recomendo acompanhar os blogs Techs de empresas … | 0 |
| 1625408304359809024 | "Scaling Media Machine Learning at Netflix" by @NetflixEng https://t.co/h5bnbY5TOW | 0 |
| 1625230703234547712 | @NetflixEng Great article! So is it Metacat or Jasper that an OTT metadata company has to work with to access Netflix content metadata to enable deep linking for Content Discovery … | 0 |
| 1625226566145015813 | "In this post, we will describe some of the challenges of applying machine learning to media assets, and the infrastructure components that we have built to address them." https://t.co/Ej1PuM8u6I < … | 0 |
| 1624700890933493760 | Watch it to witness, -@jordwalke ‘s igniting idea -inception of flux -the initial struggles and pushbacks -@sophiebits ‘s faith that changed everyone’s thinking -@NetflixEng ‘s crucial bet on React | 0 |
Top 10 Tweets by Likes
| ID | Text | Like count |
|---|---|---|
| 1625408304359809024 | "Scaling Media Machine Learning at Netflix" by @NetflixEng https://t.co/h5bnbY5TOW | 9 |
| 1625230703234547712 | @NetflixEng Great article! So is it Metacat or Jasper that an OTT metadata company has to work with to access Netflix content metadata to enable deep linking for Content Discovery … | 1 |
| 1628143392260599819 | @slederer @netflix Can confirm @netflix @NetflixEng | 0 |
| 1628048812529926147 | @nathsouzadev @omariosouto @NetflixEng @Shopify E, se onde você trabalha aplica algo mais avançado, recomendo sugerir internamente um blog explicando como foi criado algumas complexidades e coisas mais avançadas. O problema … | 0 |
| 1628048270973890566 | @nathsouzadev @omariosouto A qual tinha umas palestras de aplicações de altas requisicoes de projetos e empresas e vinhamos. Mas como não tem mais recomendo acompanhar os blogs Techs de empresas … | 0 |
| 1625226566145015813 | "In this post, we will describe some of the challenges of applying machine learning to media assets, and the infrastructure components that we have built to address them." https://t.co/Ej1PuM8u6I < … | 0 |
| 1624700890933493760 | Watch it to witness, -@jordwalke ‘s igniting idea -inception of flux -the initial struggles and pushbacks -@sophiebits ‘s faith that changed everyone’s thinking -@NetflixEng ‘s crucial bet on React | 0 |
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #streaming | 1 |
| #metadata | 1 |
| #content | 1 |
| #discovery | 1 |
| #ott | 1 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @netflixeng | 10 |
| @netflix | 2 |
| @nathsouzadev | 2 |
| @omariosouto | 2 |
| @shopify | 2 |
| @thebinancenft | 1 |
| @slederer | 1 |
| @jordwalke | 1 |
| @sophiebits | 1 |
Wordcloud of Tweets
Emoji Analysis
Average emojis per tweet:
11
Emojis Used
| Emoji | Count | Emoji Text |
|---|---|---|
| 👀 | 1 | eyes |
Emoji Groups
| Emoji Group | Count |
|---|---|
| People & Body | 1 |
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