Camila Cabello's Tweets by Kaggle | Ecommerce and Consumer Trends

About this Dataset

Camila Cabello's Tweets

Analyzing Interaction, Outreach and Popularity

About this dataset

This dataset captures the full breadth of Camila Cabello's activity on social media. With this data, you can get a glimpse into her interactions and outreach with her followers. Each tweet includes the content, along with engagement metrics such as likes, quotes, retweets, and replies. Media posts are likewise included with their corresponding outlinks and statuses. You will also be able to see each tweet's date, url and id for further research. With this collection of resources at your fingertips, you can gain valuable insights about Camila Cabello’s overall reach and popularity on social media platforms. Analyze the most successful topics to boost interaction or analyze trends in post activity to understand audiences changes over time - possibilities are virtually limitless! Whether it’s digging into her engagement strategies or developing granular insights from individual tweets here is your go-to hub for all things related to Camila Cabello on social media!

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Research Ideas

Insight into Camila Cabello’s Social Media Engagement: The dataset provides the opportunity to analyse how Camila engages with fans on social media, and also how she responds to feedback from them. This could be done by looking at things like her replies to tweets, her number of retweets, the amount of interaction she has with her followers etc.

Sentiment Analysis: Using sentiment analysis and natural language processing (NLP) algorithms, you could assess the sentiment in each tweet and also group tweets containing similar content/words according to their sentiment. This would allow us to see if particular topics generate more positive vs negative reactions from fans over time, and potentially uncover any underlying trends or problems that followers may have with Camila or the content that she posts on social media.

Identifying Influencers: With this dataset we can identify those who are engaging most heavily with Camila Cabello's posts; these users can be identified using metrics such as likes/retweets/quotes for each tweet + number of interactions overall across all relevant sources (Twitter, Instagram etc). Knowing who these influential users are helps us better understand who is showing greater engagement or helping create a larger fan base online - which then leads us towards more insight into marketing campaigns / outreach strategies which can help raise overall brand awareness & engagement with followers around the world!

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Twitter.

Tables

Camila Cabello

@kaggle.thedevastator_camila_cabello_s_social_media_activity_and_engag.camila_cabello

1.71 MB
11348 rows
14 columns


CREATE TABLE camila_cabello (
  "content" VARCHAR,
  "created_at" VARCHAR,
  "date" VARCHAR,
  "likecount" BIGINT,
  "media" VARCHAR,
  "outlinks" VARCHAR,
  "quotecount" BIGINT,
  "quotedtweet" VARCHAR,
  "replycount" BIGINT,
  "retweetcount" BIGINT,
  "retweetedtweet" VARCHAR,
  "url" VARCHAR,
  "id" BIGINT,
  "conversationid" BIGINT
);