RasitDinc - Tweet Data Analysis

Tweets Analysis - Keyword: @RasitDinc

Publicado em 09/03/2023

Resumo

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

Resumo

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.

Modelagem de Tópicos

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

Análise de Sentimentos

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.

Análise de Tendências

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

Aviso Legal: A análise de texto do twtdata.com utiliza OpenAI e não representa as opiniões do twtdata.com ou de seus afiliados. A análise é apenas para fins informativos e não constitui um endosso de qualquer opinião.

Tipos de Tweets

Number of Retweets

9

100% do total

Number of Original tweets

0

0% do total

Number of tweets that were Quotes

0

0% do total

Number of tweets that were Replies

0

0% do total

Number of tweets that contain Hashtags

1

11% do total

Number of tweets that contain Mentions

9

100% do total

Dispositivos Utilizados para Tweetar

Top 5 Dispositivos

Source Count
Twitter Web App 9

Distribuição de Dispositivos

Dispositivos utilizados para tweetar

Top 10 Contas por Seguidores

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 Contas por Seguidos

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

Usuários Mais Ativos

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 por Dia

Gráfico de tweets por dia

Idiomas Principais Utilizados

Idiomas utilizados nos tweets

Top 10 Hashtags

Top 10 Menções

Mention Count
@rasitdinc 9
@invamed_inc 1
Top menções

Nuvem de Palavras dos Tweets

Nuvem de palavras dos tweets

Análise de Emojis

Média de emojis por tweet:

200

Emojis Utilizados

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

Grupos de Emojis

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

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