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Valorant Game Agent Twitter Analysis
Entertainment & Media Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset captures user tweets related to Valorant agents, a free-to-play first-person hero shooter developed by Riot Games. The game's agents are regularly updated with balance changes or new additions. The primary purpose of this dataset is to facilitate sentiment analysis using Natural Language Processing (NLP) and Deep Learning techniques, offering insights into public perception and discussion surrounding various agents.
Columns
- tweet: Contains the main text of the tweet, with each tweet associated with a specific Valorant agent.
- date: Represents the date when the tweet was published.
- Agent: The name of the Valorant agent that the tweet is about.
- Role: The type of agent, categorised into various roles present in the game, such as Duelists, Controllers, Initiators, and Sentinels.
Distribution
The dataset typically comes in CSV file format. It contains approximately 15,171 records. The tweets cover a period from 25th September 2021 to 30th September 2021. For agents, "Other" constitutes about 87% of the data, while Brimstone and Phoenix each represent about 6%. Regarding roles, Duelists make up around 29%, Controllers 26%, and "Other" roles account for about 45%. Specific numbers for rows/records are available for the mentioned date range and agent/role distributions.
Usage
This dataset is ideal for:
- Performing sentiment analysis on tweets to identify the most positively received or loved agents and roles.
- Conducting in-depth text analysis using NLP techniques, including tasks like removing mentions and analysing emojis.
- Developing and evaluating machine learning models for sentiment prediction in social media text.
Coverage
The dataset has a global geographic scope. The time range for the collected tweets is from 25th September 2021 to 30th September 2021. It focuses on tweets made by users about Valorant agents, and the data is continuously updated with every new game patch.
License
CC0
Who Can Use It
- Data Scientists & NLP Researchers: For building and refining sentiment analysis models, and exploring social media text.
- Game Developers & Analysts: To gauge player feedback and sentiment on agent performance, popularity, and game balance changes.
- Marketing & Community Managers: For understanding community perception and informing communication strategies.
Dataset Name Suggestions
- Valorant Agent Tweets
- Valorant Agent Sentiment Data
- Valorant Game Agent Twitter Analysis
- Player Sentiment on Valorant Agents
Attributes
Original Data Source: Valorant Agents Tweets
QUALITY