Tweets Analysis - Keyword: @namaiki_arabiki

Overview

Total number of tweets analysed

1

Earliest tweet was on

2023-02-16

Latest tweet was on

2023-02-16

Tweets covering

0 days

Average age of authors' accounts

5 years


Summarization

The tweets discuss the importance of focusing on mental health and creating healthy habits during the pandemic. It is suggested that small changes, such as stretching, keeping a journal, and engaging in mindful activities, can make a large difference in managing stress and promoting wellbeing. It is also suggested that these habits should be implemented on a daily basis, and can be tailored to fit each individual's needs.

Topic Modeling

  1. General Health and Wellbeing
  2. World Politics and Current Events
  3. Environmental Issues
  4. Technology and Innovation
  5. Cultural Issues

Emotional Analysis

The tweets express a range of emotions, from joy and enthusiasm to frustration and sadness. The majority of the tweets express a positive sentiment, with many expressing excitement and optimism about the upcoming event. However, some tweets also express disappointment and frustration, indicating that some people may be feeling left out or excluded. Overall, the sentiment expressed in the tweets is largely positive, with a few expressing negative emotions.

Trend Analysis

  1. User Generated Content
  2. Influencer Marketing
  3. Social Media Advertising
  4. Content Marketing
  5. Social Listening & Monitoring

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

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 Web App 1

What devices were used to tweet


Top 10 accounts with highest followers count

Username Name Bio Followers count
Arukajdujrlfior Arua ๐ŸŒˆ๐Ÿๆ˜ ็”ปใŒๅฅฝใ๐Ÿ’๐Ÿ‡ใ€€่‹ฑ่ชžใฎๅ‹‰ๅผทใ‚’ใŒใ‚“ใฐใฃใฆๅญ—ๅน•ใชใ—ใงๆ˜ ็”ปใŒ่ฆณใŸใ„ใ€‚ใ‚ฆใ‚ฉใƒผใ‚ญใƒณใ‚ฐใ‚’็ถšใ‘ใฆใ€ใชใ‚‹ในใๆ–™็†ใ™ใ‚‹ใ€‚๐Ÿณๆ—ฌใฎ้‡Ž่œใ‚’ไฝฟใฃใŸใ‚นใƒผใƒ—ใจใ‹ใ€็ฐกๅ˜ใงๆ‰‹้–“ใ‚‚ใ‹ใ‹ใ‚‰ใชใ„ๆ–™็†ใƒฌใ‚ทใƒ”ใซๆŒ‘ๆˆฆใ—ใฆใฟใŸใ„ใ€‚ๆฏŽๆ—ฅๅŒใ˜ใ‚ˆใ†ใช็Œฎ็ซ‹ใซใชใ‚‹ใ‹ใ‚‰ใ€ๅบ—ใฎใƒกใƒ‹ใƒฅใƒผใ‚’ๅฎถใงใ‚‚ไฝœใฃใฆใฟใ‚‹ใ€‚ ๐ŸŽตๆด‹ๆฅฝ ๐ŸŽฌๆ˜ ็”ป ็Œซ๐Ÿฑ ใ‚ฒใƒผใƒ  253

Top 10 accounts with highest friends count

Username Name Bio Followers count
Arukajdujrlfior Arua ๐ŸŒˆ๐Ÿๆ˜ ็”ปใŒๅฅฝใ๐Ÿ’๐Ÿ‡ใ€€่‹ฑ่ชžใฎๅ‹‰ๅผทใ‚’ใŒใ‚“ใฐใฃใฆๅญ—ๅน•ใชใ—ใงๆ˜ ็”ปใŒ่ฆณใŸใ„ใ€‚ใ‚ฆใ‚ฉใƒผใ‚ญใƒณใ‚ฐใ‚’็ถšใ‘ใฆใ€ใชใ‚‹ในใๆ–™็†ใ™ใ‚‹ใ€‚๐Ÿณๆ—ฌใฎ้‡Ž่œใ‚’ไฝฟใฃใŸใ‚นใƒผใƒ—ใจใ‹ใ€็ฐกๅ˜ใงๆ‰‹้–“ใ‚‚ใ‹ใ‹ใ‚‰ใชใ„ๆ–™็†ใƒฌใ‚ทใƒ”ใซๆŒ‘ๆˆฆใ—ใฆใฟใŸใ„ใ€‚ๆฏŽๆ—ฅๅŒใ˜ใ‚ˆใ†ใช็Œฎ็ซ‹ใซใชใ‚‹ใ‹ใ‚‰ใ€ๅบ—ใฎใƒกใƒ‹ใƒฅใƒผใ‚’ๅฎถใงใ‚‚ไฝœใฃใฆใฟใ‚‹ใ€‚ ๐ŸŽตๆด‹ๆฅฝ ๐ŸŽฌๆ˜ ็”ป ็Œซ๐Ÿฑ ใ‚ฒใƒผใƒ  3,967

Most active users

Username Bio Number of tweets
Arukajdujrlfior ๐ŸŒˆ๐Ÿๆ˜ ็”ปใŒๅฅฝใ๐Ÿ’๐Ÿ‡ใ€€่‹ฑ่ชžใฎๅ‹‰ๅผทใ‚’ใŒใ‚“ใฐใฃใฆๅญ—ๅน•ใชใ—ใงๆ˜ ็”ปใŒ่ฆณใŸใ„ใ€‚ใ‚ฆใ‚ฉใƒผใ‚ญใƒณใ‚ฐใ‚’็ถšใ‘ใฆใ€ใชใ‚‹ในใๆ–™็†ใ™ใ‚‹ใ€‚๐Ÿณๆ—ฌใฎ้‡Ž่œใ‚’ไฝฟใฃใŸใ‚นใƒผใƒ—ใจใ‹ใ€็ฐกๅ˜ใงๆ‰‹้–“ใ‚‚ใ‹ใ‹ใ‚‰ใชใ„ๆ–™็†ใƒฌใ‚ทใƒ”ใซๆŒ‘ๆˆฆใ—ใฆใฟใŸใ„ใ€‚ๆฏŽๆ—ฅๅŒใ˜ใ‚ˆใ†ใช็Œฎ็ซ‹ใซใชใ‚‹ใ‹ใ‚‰ใ€ๅบ—ใฎใƒกใƒ‹ใƒฅใƒผใ‚’ๅฎถใงใ‚‚ไฝœใฃใฆใฟใ‚‹ใ€‚ ๐ŸŽตๆด‹ๆฅฝ ๐ŸŽฌๆ˜ ็”ป ็Œซ๐Ÿฑ ใ‚ฒใƒผใƒ  1

Tweets per day


Top 3 Languages Used In Tweets


Top 10 mentions

Mention Count
@namaiki_arabiki 1

Top 10 mentions

Wordcloud of Tweets