Tweets Analysis - Keyword: @RasitDinc

Overview

Total number of tweets analysed

9

Earliest tweet was on

2023-02-10

Latest tweet was on

2023-02-16

Tweets covering

5 days

Average age of authors' accounts

1 years


Summarization

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.

Topic Modeling

  1. Climate Change
  2. Environmentalism
  3. Political Activism
  4. Environmental Sustainability
  5. Environmental Conservation

Emotional Analysis

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.

Trend Analysis

  1. Coronavirus and its impact
  2. US Politics and upcoming election
  3. COVID-19 precautions and vaccine news
  4. Environmental issues and climate change
  5. Mental health & wellbeing

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

9

Percentage of total tweets

100%

Number of Original tweets

0

Percentage of total tweets

0%

Number of tweets that contain Mentions

9

Percentage of total tweets

100%

Number of tweets that were Replies

0

Percentage of total tweets

0%

Number of tweets that were Quotes

0

Percentage of total tweets

0%

Number of tweets that contain Hashtags

1

Percentage of total tweets

11%


Top 5 devices used to tweet

Source Count
Twitter Web App 9

What devices were used to tweet


Top 10 accounts with highest followers count

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 accounts with highest friends count

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

Most active users

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 per day


Top 3 Languages Used In Tweets


Top 10 mentions

Mention Count
@rasitdinc 9
@invamed_inc 1

Top 10 mentions

Wordcloud of Tweets


Emojis

Average number of emojis used per tweet

200

Emojis used in tweets

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

Emojis groups

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