RasitDinc - Tweet Data Analysis

Tweets Analysis - Keyword: @RasitDinc

Publicado el 09/03/2023

Resumen

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

Resumen

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.

Modelado de Temas

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

Análisis de Sentimientos

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.

Análisis de Tendencias

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

Descargo de responsabilidad: El análisis de texto de twtdata.com utiliza OpenAI y no representa las opiniones de twtdata.com o sus afiliados. El análisis es solo para fines informativos y no constituye un respaldo de ninguna opinión.

Tipos de Tweets

Number of Retweets

9

100% del total

Number of Original tweets

0

0% del total

Number of tweets that were Quotes

0

0% del total

Number of tweets that were Replies

0

0% del total

Number of tweets that contain Hashtags

1

11% del total

Number of tweets that contain Mentions

9

100% del total

Dispositivos Utilizados para Tuitear

Top 5 Dispositivos

Source Count
Twitter Web App 9

Distribución de Dispositivos

Dispositivos utilizados para tuitear

Top 10 Cuentas 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 Cuentas 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

Usuarios Más Activos

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 Día

Gráfico de tweets por día

Idiomas Principales Utilizados

Idiomas utilizados en los tweets

Top 10 Hashtags

Top 10 Menciones

Mention Count
@rasitdinc 9
@invamed_inc 1
Top menciones

Nube de Palabras de los Tweets

Nube de palabras de los tweets

Análisis de Emojis

Promedio 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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