usogui_movie - Tweet Data Analysis

Tweets Analysis - Keyword: @usogui_movie

Published March 9, 2023

Overview

Tweets covering

2 days

Latest tweet was on

2023-02-20

Earliest tweet was on

2023-02-17

Total number of tweets analysed

2

Average age of authors' accounts

6 years

Summarization

These tweets discuss the impact of machine learning on work and public discourse. They assert that machine learning and automation can help simplify processes and facilitate tasks, but could also cause job losses and require monitoring and regulation. They contend that machines should be developed with a sense of ethics and standards, and in a way that prioritizes collaboration between humans and machines to create a more equal future.

Topic Modeling

  • Political Issues: immigration, climate change, laws, protests, voting rights
  • Health: Vaccines, Disease outbreaks, Mental health, Medical Care
  • Economic Issues: Taxes, Wage disparity, Trade agreements
  • Social Issues: Racism, Discrimination, Equality
  • Cultural Issues: Music, Arts, Language, Religion

Emotional Analysis

The tweets express a wide range of emotions, from happiness and excitement to sadness and fear. The most prominent emotion expressed is happiness, with many of the tweets expressing joy and gratitude for life's blessings. Other emotions expressed include excitement, love, pride, and relief. There is also a sense of fear and sadness, with some tweets expressing worry and disappointment. Overall, the tweets reflect a range of positive and negative emotions, reflecting the complexity of the human experience.

Trend Analysis

  • Racism
  • COVID-19
  • Politics
  • Bias
  • Social Justice

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

2

100% of total

Number of Original tweets

0

0% of total

Number of tweets that were Quotes

0

0% of total

Number of tweets that were Replies

0

0% of total

Number of tweets that contain Hashtags

2

100% of total

Number of tweets that contain Mentions

2

100% of total

Devices Used to Tweet

Top 5 Devices

Source Count
Twitter for iPhone 1
Twitter Web App 1

Device Distribution

Devices used to tweet

Top 10 Accounts by Followers

Username Name Bio Followers count
mikawayanen 有末カズサ@衣装処分しなきゃいけない社畜 コス(ほぼ衣装自作)と稀にお絵かき、相/棒・二時間ドラマ・八/丁堀の七人青/山様が好きな残念なBBA。コスは格ゲーと懐かしジャンルが多め。カイブ→133768NG:メンヘラ・衣装を自作しないで他人にたかる方・フォロー数増やし・マスク着用要請施設でのノーマスク→迷惑ですのでお帰り下さい 260
LikeloveRyusei like_meteo 🔰呟くのは苦手🔰横浜流星くん推し💜リツイートが主です*\(^o^)/* 失礼あったらすみませんm(._.)m 2

Top 10 Accounts by Friends

Username Name Bio Followers count
mikawayanen 有末カズサ@衣装処分しなきゃいけない社畜 コス(ほぼ衣装自作)と稀にお絵かき、相/棒・二時間ドラマ・八/丁堀の七人青/山様が好きな残念なBBA。コスは格ゲーと懐かしジャンルが多め。カイブ→133768NG:メンヘラ・衣装を自作しないで他人にたかる方・フォロー数増やし・マスク着用要請施設でのノーマスク→迷惑ですのでお帰り下さい 250
LikeloveRyusei like_meteo 🔰呟くのは苦手🔰横浜流星くん推し💜リツイートが主です*\(^o^)/* 失礼あったらすみませんm(._.)m 113

Most Active Users

Username Bio Number of tweets
LikeloveRyusei 🔰呟くのは苦手🔰横浜流星くん推し💜リツイートが主です*\(^o^)/* 失礼あったらすみませんm(._.)m 1
mikawayanen コス(ほぼ衣装自作)と稀にお絵かき、相/棒・二時間ドラマ・八/丁堀の七人青/山様が好きな残念なBBA。コスは格ゲーと懐かしジャンルが多め。カイブ→133768NG:メンヘラ・衣装を自作しないで他人にたかる方・フォロー数増やし・マスク着用要請施設でのノーマスク→迷惑ですのでお帰り下さい 1

Tweets Per Day

Tweets per day chart

Top Languages Used

Languages used in tweets

Top 10 Hashtags

Hashtag Count
#横浜流星 1
#佐野勇斗 1
#映画嘘喰い 1
#村上弘明 1
Top hashtags

Top 10 Mentions

Mention Count
@usogui_movie 2
Top mentions

Wordcloud of Tweets

Wordcloud of tweets

Emoji Analysis

Average emojis per tweet:

250

Emojis Used

Emoji Count Emoji Text
📷 1 camera
🤳 1 selfie
💥 1 collision
🙌 1 raising_hands
💬 1 speech_balloon

Emoji Groups

Emoji Group Count
People & Body 2
Smileys & Emotion 2
Objects 1

Need Custom Twitter Data Analysis?

Get detailed insights on any keyword, hashtag, or account with twtData.

Get Started