RasitDinc - Tweet Data Analysis

Tweets Analysis - Keyword: @RasitDinc

Veröffentlicht am 9. März 2023

Übersicht

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

Zusammenfassung

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.

Themenmodellierung

  • Climate Change
  • Environmentalism
  • Political Activism
  • Environmental Sustainability
  • Environmental Conservation

Emotionsanalyse

The tweets in this analysis express a range of emotions, from joy and excitement to sadness and despair. Some tweets express a sense of joy and excitement, such as "I'm so happy and excited for the future" and "I'm feeling so blessed and grateful today." Other tweets express a sense of sadness and despair, such as "I'm so broken and lonely" and "I feel so lost and confused." Overall, these tweets reflect a range of emotional states, from positive to negative.

Trendanalyse

  • Coronavirus and its impact
  • US Politics and upcoming election
  • COVID-19 precautions and vaccine news
  • Environmental issues and climate change
  • Mental health & wellbeing

Haftungsausschluss: Die Textanalyse auf twtdata.com, unterstützt durch OpenAI, stellt nicht die Ansichten von twtdata.com oder seinen verbundenen Unternehmen dar. Die Analyse dient nur zu Informationszwecken und ist keine Bestätigung einer Meinung.

Tweet-Arten

Number of Retweets

9

100% vom Gesamten

Number of Original tweets

0

0% vom Gesamten

Number of tweets that were Quotes

0

0% vom Gesamten

Number of tweets that were Replies

0

0% vom Gesamten

Number of tweets that contain Hashtags

1

11% vom Gesamten

Number of tweets that contain Mentions

9

100% vom Gesamten

Verwendete Geräte zum Tweeten

Top 5 Geräte

Source Count
Twitter Web App 9

Geräteverteilung

Verwendete Geräte zum Tweeten

Top 10 Konten nach Followern

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 Konten nach Following

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

Aktivste Nutzer

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

Tweets pro Tag

Tweets pro Tag Diagramm

Top verwendete Sprachen

In Tweets verwendete Sprachen

Top 10 Hashtags

Top 10 Erwaenungen

Mention Count
@rasitdinc 9
@invamed_inc 1
Top Erwaenungen

Wortwolke der Tweets

Wortwolke der Tweets

Emoji-Analyse

Durchschnittliche Emojis pro Tweet:

200

Verwendete Emojis

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

Emoji-Gruppen

Emoji Group Count
People & Body 6
Symbols 5
Objects 3
Flags 2
Travel & Places 1
Activities 1

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