kucoinwindvane - Tweet Data Analysis
Tweets Analysis - Keyword: @kucoinwindvane
Overview
Tweets covering
7 days
Latest tweet was on
2023-02-19
Earliest tweet was on
2023-02-11
Total number of tweets analysed
142
Average age of authors' accounts
10 years
Summarization
These tweets discuss the latest news surrounding the global economy and its recovery from the COVID-19 pandemic. The American stock market is continuing to show improvement while the EU is looking to rebuild their economy. The US, meanwhile, is experiencing millions of job losses and the global economy is expected to experience a 3% contraction. Governments and institutions are responding by implementing stimulus measures, such as Japan's new $1.1 trillion package, to attempt to restore the world’s economy.
Topic Modeling
- Politics
- Social Issues
- Culture
- Public Opinion
- Current Events
Emotional Analysis
Trend Analysis
- Sports
- News
- Government
- Entertainment
- Weather and Environment
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
142
100% of total
Number of Original tweets
0
0% of total
Number of tweets that were Quotes
9
6% of total
Number of tweets that were Replies
0
0% of total
Number of tweets that contain Hashtags
98
69% of total
Number of tweets that contain Mentions
142
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 142 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| beanca45 | 𝔊𝔢𝔬𝔯𝔤𝔢 | #cryptocurrency Web3builder | 97 |
| kyattohudo0626 | 😍John😌 | 📌 🇫🇷Bordeaux 🖼NFT Creator | 94 |
| akarinbo1129 | 𝚂𝚝𝚎𝚟𝚎𝚗 | 💼Web3 enthusiast 🌏Florence | 85 |
| noni400 | 🎃Paul🎃 | 🎳Bowling fan #nft | 79 |
| yasukido_8 | 😏𝐌𝐚𝐫𝐤 | 🌍Madrid 22 y.o | 65 |
| tierracali23 | 👋𝙎𝙩𝙚𝙫𝙚𝙣 | I am not afraid of storms because I am learning how to sail my ship. 🥳24 years old | 64 |
| FREAKshowTEK | 👌𝚁𝚘𝚋𝚎𝚛𝚝 | #NFTCollection 🌍Geneva | 59 |
| mireichan129 | 😎Jeff😄 | 🗓26 years Digital consultant | 54 |
| grey_bird | Brian | Don't waste your energy trying to change opinions ... Do your thing, and don't care if they like it. #NFTCollection | 53 |
| ____amirul | 🙂𝔐𝔞𝔯𝔨 | 🌏Abu Dhabi #xlm | 49 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| jyu_gemu | William😅 | 🎳Bowling fan 📌Vienna | 615 |
| NRutilo | Mark🤚 | #nftdrop Gamer | 212 |
| noni400 | 🎃Paul🎃 | 🎳Bowling fan #nft | 209 |
| ZaydaJrz | Edward | 🏊Swimming fan 📉NFT holder | 169 |
| esteban_talledo | 𝐉𝐚𝐦𝐞𝐬 | #polygon ️🖍NFT Creator | 168 |
| cie_miell | 😉Christopher😺 | 27 y.o #BAYC | 162 |
| miriananez | 😅Michael | 23 y.o NFT | 148 |
| beanca45 | 𝔊𝔢𝔬𝔯𝔤𝔢 | #cryptocurrency Web3builder | 132 |
| SophieMcM123 | Jason | NFT | 126 |
| akarinbo1129 | 𝚂𝚝𝚎𝚟𝚎𝚗 | 💼Web3 enthusiast 🌏Florence | 121 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| DamiaId | 📍Buenos Aires#nftartists | 2 |
| 860404HYUKJAE | 💸Crypto miner 🌎Rome | 1 |
| kavitamahajan85 | 🧗Climbing lover#xlm | 1 |
| irinarkhov | 22 y.o📌Rio de Janeiro | 1 |
| jacy1993 | #NFTCommunity 24 years | 1 |
| jo36205822 | 🌎Barcelona🚴Bike lover | 1 |
| juliana1D5 | 📍Geneva📅21 years | 1 |
| jyu_gemu | 🎳Bowling fan 📌Vienna | 1 |
| kakonethree | 📍 🇩🇪Berlin 📅20 years | 1 |
| kcfm_4j | You've got to get up every morning with determination if you're going to go to bed with satisfaction. 🌍Dublin | 1 |
Tweets Per Day
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #nft | 39 |
| #kucoin | 34 |
| #windvane | 32 |
| #nfts | 28 |
| #nftmarketplace | 12 |
| #giveaway | 9 |
| #buidl | 8 |
| #web3 | 7 |
| #free | 6 |
| #launchpad | 6 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @kucoinwindvane | 156 |
| @kucoincom | 42 |
| @kucoinventures | 13 |
| @mnztoken | 9 |
| @eyesfi_xyz | 7 |
| @kuwallet | 6 |
| @metashooter_gg | 6 |
| @galaxyblitzgame | 6 |
| @thenftstar | 6 |
| @metaoasisdao | 5 |
Wordcloud of Tweets
Emoji Analysis
Average emojis per tweet:
362
Emojis Used
| Emoji | Count | Emoji Text |
|---|---|---|
| 👇 | 85 | backhand_index_pointing_down |
| 🔥 | 65 | fire |
| ⏰ | 39 | alarm_clock |
| ✅ | 38 | check_mark_button |
| 🎉 | 36 | party_popper |
| 🎁 | 24 | wrapped_gift |
| 💰 | 24 | money_bag |
| 👉 | 22 | backhand_index_pointing_right |
| 🤩 | 21 | star-struck |
| 🙌 | 15 | raising_hands |
Emoji Groups
| Emoji Group | Count |
|---|---|
| People & Body | 140 |
| Travel & Places | 114 |
| Activities | 73 |
| Smileys & Emotion | 65 |
| Objects | 57 |
| Symbols | 51 |
| Food & Drink | 8 |
| Animals & Nature | 5 |
| Flags | 2 |
Need Custom Twitter Data Analysis?
Get detailed insights on any keyword, hashtag, or account with twtData.
Get Started