RasitDinc - Tweet Data Analysis

Tweets Analysis - Keyword: @RasitDinc

Publie le 09/03/2023

Resume

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

Resume

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.

Modelisation des Sujets

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

Analyse des Sentiments

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.

Analyse des Tendances

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

Avertissement : L'analyse de texte de twtdata.com utilise OpenAI et ne represente pas les opinions de twtdata.com ou de ses affilies. L'analyse est uniquement a titre informatif et ne constitue pas une approbation d'une quelconque opinion.

Types de Tweets

Number of Retweets

9

100% du total

Number of Original tweets

0

0% du total

Number of tweets that were Quotes

0

0% du total

Number of tweets that were Replies

0

0% du total

Number of tweets that contain Hashtags

1

11% du total

Number of tweets that contain Mentions

9

100% du total

Appareils Utilises pour Tweeter

Top 5 Appareils

Source Count
Twitter Web App 9

Repartition des Appareils

Appareils utilises pour tweeter

Top 10 Comptes par Abonnes

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 Comptes par Abonnements

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

Utilisateurs les Plus Actifs

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 par Jour

Graphique des tweets par jour

Principales Langues Utilisees

Langues utilisees dans les tweets

Top 10 Hashtags

Top 10 Mentions

Mention Count
@rasitdinc 9
@invamed_inc 1
Top mentions

Nuage de Mots des Tweets

Nuage de mots des tweets

Analyse des Emojis

Moyenne d'emojis par tweet :

200

Emojis Utilises

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

Groupes d'Emojis

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

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