Tweets Analysis - Keyword: @BiogenJapan
Overview
Total number of tweets analysed
1
Earliest tweet was on
2023-02-11
Latest tweet was on
2023-02-11
Tweets covering
0 days
Average age of authors' accounts
6 years
Summarization
These tweets discuss the 2020 presidential election, with a focus on the importance of voter turnout and involvement in order to help ensure a productive outcome. They emphasize the impact of the youth vote, encouraging people of all ages to get educated on the issues, register to vote, and speak up about their concerns. They also draw attention to the value of voting early and voting in person, as well as the risks associated with mail-in ballots.
Topic Modeling
- Health Concerns
- Economic Impact
- Changes in Society
- Uncertainty and Worry
- Politics and Government Action
Emotional Analysis
The tweets express a range of emotions, including frustration, disappointment, anger, and sadness. The frustration is directed towards the lack of action taken by the government to address the issue, while the disappointment is rooted in the realization that the problem is still not being addressed. Anger is expressed in the tweets as people feel let down by the government and their failure to act. Finally, sadness is expressed in the tweets as people feel helpless and powerless in the face of the issue.
Trend Analysis
- Covid-19
- United States Presidential Election
- Climate Change
- Racism
- Social Injustice
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
1
Percentage of total tweets
100%
Number of tweets that contain Hashtags
1
Percentage of total tweets
100%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| ueafam | Illusion of Evidence (IoE) | 証拠の錯覚、幻想。疑わしきは精神科医の利益へ。最大限に、有効性は過大評価され、有害性は過小評価される。公益の為に事実を適示していく。 | 80 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| ueafam | Illusion of Evidence (IoE) | 証拠の錯覚、幻想。疑わしきは精神科医の利益へ。最大限に、有効性は過大評価され、有害性は過小評価される。公益の為に事実を適示していく。 | 121 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| ueafam | 証拠の錯覚、幻想。疑わしきは精神科医の利益へ。最大限に、有効性は過大評価され、有害性は過小評価される。公益の為に事実を適示していく。 | 1 |
Tweets per day
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #バイオジェン | 1 |
| #利益追求 | 1 |
| #製薬業界 | 1 |
| #pdufa | 1 |
| #エビデンス | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @ueafam | 1 |
| @biogenjapan | 1 |
| @deisklein | 1 |
| @us_fda | 1 |
Top 10 mentions
Wordcloud of Tweets