Tweets Analysis - Keyword: @krisshdop
Overview
Total number of tweets analysed
41
Earliest tweet was on
2023-02-10
Latest tweet was on
2023-02-20
Tweets covering
9 days
Average age of authors' accounts
2 years
Summarization
Twitter is introducing new emoji reactions to increase engagement. Users will be able to express more nuanced reactions beyond “liking” their friend’s posts. The new emoji reactions include love, laughter, shock, sadness, and anger. These reactions can all be used to respond to both photos and text posts.
Topic Modeling
- Covid-19
- Healthcare
- Vaccines & Immunizations
- Government Policy & Regulations
- Public Health & Education
Emotional Analysis
The tweets express a range of emotions, from excitement and enthusiasm to confusion and anger. The majority of the tweets express positive emotions such as joy, enthusiasm, and optimism, while a few express confusion and anger. The positive emotions seem to be in response to an event or announcement, while the negative emotions seem to be in response to a lack of clarity or understanding. Overall, the tweets reflect a mix of emotions, from hopefulness to frustration.
Trend Analysis
- Covid-19 health concerns
- Healthcare system and access to treatment
- Economic impact of the pandemic
- Mental health issues
- Impact of lockdowns and restrictions
Types of Tweets
Number of Retweets
41
Percentage of total tweets
100%
Number of Original tweets
0
Percentage of total tweets
0%
Number of tweets that contain Mentions
41
Percentage of total tweets
100%
Number of tweets that were Replies
0
Percentage of total tweets
0%
Number of tweets that were Quotes
8
Percentage of total tweets
19%
Number of tweets that contain Hashtags
29
Percentage of total tweets
70%
Top 5 devices used to tweet
Source | Count |
---|---|
Twitter for Android | 39 |
Twitter Web App | 2 |
What devices were used to tweet
![](https://storage.googleapis.com/twtdata-blog/original_images/hometwitterappreports_datasource_pie_krisshdop.jpeg)
Top 10 accounts with highest followers count
Username | Name | Bio | Followers count |
---|---|---|---|
_PavanTweets_ | 𝐏𝐚𝐯𝐚𝐧𝐓𝐰𝐞𝐞𝐭𝐬 | DHF Of @kicchasudeep 👑 ...Proud to be #ಕನ್ನಡಿಗ 😎 This 🌎 is Full Of Fake So Don't Believe Anyone 😎 | 1,532 |
Ninga453 | NINGA 45 | ROHITH SHARMA DIE HARD FAN 45 old account @ningangowdaS | 792 |
AsHiKAs41037492 | 😎ASHI KICCHA❤️All India Cut-Out 😎 @KicchaSudeep | ಬಾಸ್ ಅನ್ನೋರು ಬೀದಿಗೊಬ್ಬರು ಸಿಗ್ತಾರೆ ಆದ್ರೆ ಬಾದ್ ಷಾ ಕರ್ನಾಟಕಕ್ಕೆ ಇವರೊಬ್ಬರೇ.....@KicchaSudeep 👑🔥⚡ | 507 |
rashwini70 | ashwini | - | 295 |
Sudeepism3 | S K SUDEEPIAN | #DieHardSUDEEPIAN..Full Time TRADER..📈SEBI Un-Registered | 244 |
williams67helga | Helga | - | 215 |
Pradeep41806831 | Pradeep Kiccha | - | 66 |
MudholDhareppa | Dhareppa Mudhol | - | 11 |
Top 10 accounts with highest friends count
Username | Name | Bio | Followers count |
---|---|---|---|
williams67helga | Helga | - | 2,714 |
AsHiKAs41037492 | 😎ASHI KICCHA❤️All India Cut-Out 😎 @KicchaSudeep | ಬಾಸ್ ಅನ್ನೋರು ಬೀದಿಗೊಬ್ಬರು ಸಿಗ್ತಾರೆ ಆದ್ರೆ ಬಾದ್ ಷಾ ಕರ್ನಾಟಕಕ್ಕೆ ಇವರೊಬ್ಬರೇ.....@KicchaSudeep 👑🔥⚡ | 1,360 |
_PavanTweets_ | 𝐏𝐚𝐯𝐚𝐧𝐓𝐰𝐞𝐞𝐭𝐬 | DHF Of @kicchasudeep 👑 ...Proud to be #ಕನ್ನಡಿಗ 😎 This 🌎 is Full Of Fake So Don't Believe Anyone 😎 | 1,057 |
Ninga453 | NINGA 45 | ROHITH SHARMA DIE HARD FAN 45 old account @ningangowdaS | 811 |
Sudeepism3 | S K SUDEEPIAN | #DieHardSUDEEPIAN..Full Time TRADER..📈SEBI Un-Registered | 781 |
Pradeep41806831 | Pradeep Kiccha | - | 153 |
MudholDhareppa | Dhareppa Mudhol | - | 138 |
rashwini70 | ashwini | - | 85 |
Most active users
Username | Bio | Number of tweets |
---|---|---|
_PavanTweets_ | DHF Of @kicchasudeep 👑 ...Proud to be #ಕನ್ನಡಿಗ 😎 This 🌎 is Full Of Fake So Don't Believe Anyone 😎 | 23 |
MudholDhareppa | - | 9 |
AsHiKAs41037492 | ಬಾಸ್ ಅನ್ನೋರು ಬೀದಿಗೊಬ್ಬರು ಸಿಗ್ತಾರೆ ಆದ್ರೆ ಬಾದ್ ಷಾ ಕರ್ನಾಟಕಕ್ಕೆ ಇವರೊಬ್ಬರೇ.....@KicchaSudeep 👑🔥⚡ | 3 |
Ninga453 | ROHITH SHARMA DIE HARD FAN 45 old account @ningangowdaS | 2 |
Pradeep41806831 | - | 1 |
Sudeepism3 | #DieHardSUDEEPIAN..Full Time TRADER..📈SEBI Un-Registered | 1 |
rashwini70 | - | 1 |
williams67helga | - | 1 |
Tweets per day
![](https://storage.googleapis.com/twtdata-blog/original_images/hometwitterappreports_datatweets_per_day_krisshdop.jpeg)
Top 3 Languages Used In Tweets
![](https://storage.googleapis.com/twtdata-blog/original_images/hometwitterappreports_datalang_pie_krisshdop.jpeg)
Top 10 Hashtags used
Hashtag | Count |
---|---|
#pailwaan | 9 |
#kaali | 7 |
#hebbuli | 4 |
#abhishekambreesh | 3 |
#abishekambreesh | 2 |
#pailwan | 2 |
#happybirthdayshivanna | 1 |
#shivarajkumar | 1 |
#shivannabirthdaycdp | 1 |
#shivuadda | 1 |
Top 10 Hashtags Used In Tweets
![](https://storage.googleapis.com/twtdata-blog/original_images/hometwitterappreports_datahashtags_bars_krisshdop.jpeg)
Top 10 mentions
Mention | Count |
---|---|
@krisshdop | 37 |
@kicchasudeep | 26 |
@iswapnakrishna | 19 |
@rrrmotion_pics | 9 |
@devkrish14 | 7 |
@kaali_thefire | 7 |
@sunielvshetty | 6 |
@gowda_sapthami | 5 |
@kabirduhansingh | 4 |
@a_karunakara | 4 |
Top 10 mentions
![](https://storage.googleapis.com/twtdata-blog/original_images/hometwitterappreports_datamentions_bars_krisshdop.jpeg)
Wordcloud of Tweets
![](https://storage.googleapis.com/twtdata-blog/original_images/hometwitterappreports_datatweets_wordcloud_krisshdop.jpeg)
Emojis
Average number of emojis used per tweet
209
Emojis used in tweets
Emoji | Count | Emoji Text |
---|---|---|
👏🏼 | 32 | clapping_hands_medium-light_skin_tone |
🤗 | 9 | smiling_face_with_open_hands |
🙏 | 7 | folded_hands |
👌 | 7 | OK_hand |
🎉 | 6 | party_popper |
❤️ | 3 | red_heart |
🥂 | 3 | clinking_glasses |
🔥 | 3 | fire |
✨ | 2 | sparkles |
✌️ | 2 | victory_hand |
Emojis groups
Emoji Group | Count |
---|---|
People & Body | 52 |
Smileys & Emotion | 17 |
Activities | 8 |
Travel & Places | 4 |
Food & Drink | 3 |
Objects | 1 |
Animals & Nature | 1 |