RasitDinc - Tweet Data Analysis
Tweets Analysis - Keyword: @RasitDinc
Ringkasan
Tweets covering
5 days
Latest tweet was on
2023-02-16
Earliest tweet was on
2023-02-10
Total number of tweets analysed
9
Average age of authors' accounts
1 years
Ringkasan
Data scientists are using techniques such as natural language processing (NLP), deep learning, and machine learning to predict outcomes and automate processes. These techniques can create powerful results in the areas of finance, healthcare, and industry automation. NLP is used to make sense of large amounts of text data, while deep learning can recognize patterns in complex data. Machine learning can automate processes and create predictive models to help organizations make better decisions.
Pemodelan Topik
- Climate Change
- Environmentalism
- Political Activism
- Environmental Sustainability
- Environmental Conservation
Analisis Sentimen
Analisis Tren
- Coronavirus and its impact
- US Politics and upcoming election
- COVID-19 precautions and vaccine news
- Environmental issues and climate change
- Mental health & wellbeing
Penafian: Analisis teks twtdata.com menggunakan OpenAI dan tidak mewakili pendapat twtdata.com atau afiliasinya. Analisis ini hanya untuk tujuan informasi dan bukan merupakan dukungan terhadap pendapat apa pun.
Jenis Tweet
Number of Retweets
9
100% dari total
Number of Original tweets
0
0% dari total
Number of tweets that were Quotes
0
0% dari total
Number of tweets that were Replies
0
0% dari total
Number of tweets that contain Hashtags
1
11% dari total
Number of tweets that contain Mentions
9
100% dari total
Perangkat yang Digunakan untuk Tweet
Top 5 Perangkat
| Source | Count |
|---|---|
| Twitter Web App | 9 |
Distribusi Perangkat
Top 10 Akun Berdasarkan Pengikut
| Username | Name | Bio | Followers count |
|---|---|---|---|
| margaret_packar | Margaret | - | 460 |
| maren_chambers1 | Maren | - | 452 |
| cori64wilson | Cori | - | 320 |
| margare70083211 | Margaret | - | 250 |
| guzman55ella55 | Ella | - | 213 |
| avera_yolanda10 | Yolanda | - | 162 |
| artemartbp1b | Jessica | - | 104 |
| tracyhaynes38 | Tracy | - | 85 |
| coopererin59 | Erin | - | 20 |
Top 10 Akun Berdasarkan Mengikuti
| Username | Name | Bio | Followers count |
|---|---|---|---|
| avera_yolanda10 | Yolanda | - | 3.042 |
| maren_chambers1 | Maren | - | 3.038 |
| margaret_packar | Margaret | - | 3.031 |
| cori64wilson | Cori | - | 3.012 |
| artemartbp1b | Jessica | - | 2.730 |
| tracyhaynes38 | Tracy | - | 2.641 |
| margare70083211 | Margaret | - | 2.595 |
| guzman55ella55 | Ella | - | 2.249 |
| coopererin59 | Erin | - | 793 |
Pengguna Paling Aktif
| Username | Bio | Number of tweets |
|---|---|---|
| artemartbp1b | - | 1 |
| avera_yolanda10 | - | 1 |
| coopererin59 | - | 1 |
| cori64wilson | - | 1 |
| guzman55ella55 | - | 1 |
| maren_chambers1 | - | 1 |
| margare70083211 | - | 1 |
| margaret_packar | - | 1 |
| tracyhaynes38 | - | 1 |
Tweet per Hari
Bahasa Utama yang Digunakan
Top 10 Hashtag
Top 10 Mention
| Mention | Count |
|---|---|
| @rasitdinc | 9 |
| @invamed_inc | 1 |
Word Cloud Tweet
Analisis Emoji
Rata-rata emoji per tweet:
200
Emoji yang Digunakan
| Emoji | Count | Emoji Text |
|---|---|---|
| ➡️ | 3 | right_arrow |
| 📡 | 2 | satellite_antenna |
| ® | 2 | registered |
| 🌎 | 1 | globe_showing_Americas |
| 🇹🇷 | 1 | Turkey |
| 🏅 | 1 | sports_medal |
| 🤏 | 1 | pinching_hand |
| 👉 | 1 | backhand_index_pointing_right |
| ✋ | 1 | raised_hand |
| 🙌 | 1 | raising_hands |
Kelompok Emoji
| Emoji Group | Count |
|---|---|
| People & Body | 6 |
| Symbols | 5 |
| Objects | 3 |
| Flags | 2 |
| Travel & Places | 1 |
| Activities | 1 |
Perlu Analisis Data Twitter yang Dipersonalisasi?
Dapatkan wawasan mendalam tentang kata kunci, hashtag, atau akun apa pun di twtData.
Mulai