Tweets Analysis - Keyword: @LovelyWriter_S
Overview
Total number of tweets analysed
1
Earliest tweet was on
2023-02-12
Latest tweet was on
2023-02-12
Tweets covering
0 days
Average age of authors' accounts
1 years
Summarization
The recent outbreak of coronavirus has had a dramatic effect on individuals and businesses, causing immense disruption and loss. There is still much to be done in terms of responding, such as developing a vaccine and providing financial support to those affected. Governments, companies and individuals all need to work together to find solutions that will help the world get through this crisis.
Topic Modeling
- Climate Change
- Environmental Awareness
- Sustainable Environmental Practices
- Renewable Energy Sources
- Green Living Practices
Emotional Analysis
The tweets in this collection express a range of emotions, including joy, excitement, anger, sadness, and fear. The joy and excitement are expressed through expressions of happiness and enthusiasm, while the anger is expressed through criticism and sarcasm. Sadness is conveyed through expressions of disappointment and hopelessness, and fear is expressed through expressions of worry and anxiety. Overall, these tweets show a range of emotions, which are likely reflective of the complex and often difficult situations that people are facing.
Trend Analysis
- COVID-19 pandemic
- Public health
- Politics
- Economic crisis
- Remote working
Types of Tweets
Number of Retweets
1
Percentage of total tweets
100%
Number of Original tweets
0
Percentage of total tweets
0%
Number of tweets that contain Mentions
1
Percentage of total tweets
100%
Number of tweets that were Replies
0
Percentage of total tweets
0%
Number of tweets that were Quotes
0
Percentage of total tweets
0%
Number of tweets that contain Hashtags
1
Percentage of total tweets
100%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter for iPhone | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| swtaingether | ユート🇹🇭 | 2gether、サラタイ、BW、🇹🇭ドラマについて呟くだけのアカウントです。 20↑ rps理解しています。本垢：namasute_DX🗝 2023.01.29 Lovely writerでkaoup沼を踏み抜いたようです………… | 16 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| swtaingether | ユート🇹🇭 | 2gether、サラタイ、BW、🇹🇭ドラマについて呟くだけのアカウントです。 20↑ rps理解しています。本垢：namasute_DX🗝 2023.01.29 Lovely writerでkaoup沼を踏み抜いたようです………… | 51 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| swtaingether | 2gether、サラタイ、BW、🇹🇭ドラマについて呟くだけのアカウントです。 20↑ rps理解しています。本垢：namasute_DX🗝 2023.01.29 Lovely writerでkaoup沼を踏み抜いたようです………… | 1 |
Tweets per day
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #น | 2 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @lovelywriter_s | 1 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
300
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 💕 | 1 | two_hearts |
| 🥰 | 1 | smiling_face_with_hearts |
| 📚 | 1 | books |
Emojis groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 2 |
| Objects | 1 |