license:mit region:us
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license: mit
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The **"Famous Keyword Twitter Replies Dataset"** is a comprehensive collection of Twitter data that focuses on popular keywords and their associated replies. This dataset contains five essential columns that provide valuable insights into the Twitter conversation dynamics:

1. **Keyword:** This column represents the specific keyword or topic of interest that generated the original tweet. It helps identify the context or subject matter around which the conversation revolves.

2. **Main_tweet:** The main_tweet column contains the original tweet related to the keyword. It serves as the starting point or focal point of the conversation and often provides essential information or opinions on the given topic.

3. **Main_likes:** This column provides the number of likes received by the main_tweet. Likes serve as a measure of engagement and indicate the level of popularity or resonance of the original tweet within the Twitter community.

4. **Reply:** The reply column consists of the replies or responses to the main_tweet. These replies may include comments, opinions, additional information, or discussions related to the keyword or the original tweet itself. The replies help capture the diverse perspectives and conversations that emerge in response to the main_tweet.

5. **Reply_likes:** This column records the number of likes received by each reply. Similar to the main_likes column, the reply_likes column measures the level of engagement and popularity of individual replies. It enables the identification of particularly noteworthy or well-received replies within the dataset.

By analyzing this "Famous Keyword Twitter Replies Dataset," researchers, analysts, and data scientists can gain valuable insights into how popular keywords spark discussions on Twitter and how these discussions evolve through replies. 

The dataset's information on likes allows for the evaluation of tweet and reply popularity, helping to identify influential or impactful content. 

This dataset serves as a valuable resource for various applications, including sentiment analysis, trend identification, opinion mining, and understanding social media dynamics.

&gt; Number of tweets for each pairs of tweet and reply

**Total has 17255 pairs of tweet/reply**

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F9998584%2Fc33bf662ec0b710877ba40287bc6025e%2Fcount.png?generation=1686152411950305&alt=media)