E-Sports is one of the fastest growing industries in current times. But with every industry, there are flaws that needs to be filled in order to cover the issues and increase even more rapidly.

This dataset contain all the useful reviews that were scraped from steamcommunity.com. The reviews are from the games that had highest number of active users on 18th of January. The game names are: - DOTA 2 - CSGO - Apex legends - Team Fortress 2 - GTA V - Naraka:Bladepoint - Monster Hunter Rise - MIR4 - PUBG - RUST

As a student who is very enthusiast for the data analyst, I wanted to began my work on sentiment analysis. The special Thanks to steamcommunity for making there reviews easier to extract. These Reviews will surely help you understand sentiment analysis in depth. Moreover you can perform different data visualization on this dataset for future works

1) Data Introduction • The Best-Selling Steam Games of All Time Dataset contains 2,380 of the world's best-selling Steam games, collected from the 'Best sellers' page of the Steam official store as of June 1, 2025.

2) Data Utilization (1) Best-Selling Steam Games of All Time Dataset has characteristics that: • This dataset incorporates data collected from three locations: Steam, GameFAQs, and SteamDB, and consists of 15 columns: game name, review rating, release date, developer, genre tag, support operating system, support language, price, play support, age limit, user rating, difficulty, play time, and expected downloads. • Each game's genre and tag has been consistently refined using only 42 standardized representative tags, and all data is completely available with no missing values. (2) Best-Selling Steam Games of All Time Dataset can be used to: • Game Market Analysis: Based on various information such as sales volume, price, genre, user evaluation, support platform, etc., it can be used to analyze trends, popular genres, price policies, and success factors in the Steam game market. • Recommendation system and game development: You can build a personalized game recommendation system using various characteristics such as user rating, tag, difficulty, and play time, or use it as benchmarking data when planning new games.

We'll tailor a Steam dataset to meet your unique needs, encompassing game titles, user reviews, pricing information, genre statistics, player demographics, playtime data, and other pertinent metrics.

Leverage our Steam datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp gamer preferences and industry trends, facilitating nuanced game development and marketing initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.

Popular use cases involve guiding game development based on player insights, enhancing marketing strategies through targeted campaigns, and conducting competitive analysis to sharpen market positioning.

Keep in Mind

It is important to mention that this dataset may not be suitable for all audiences, as it contains reviews that may include harsh language, offensive or toxic content, and ASCII art of inappropriate body parts. This might not be suitable for all users. We want to make it clear that we do not endorse or condone any of the content within the dataset. This information is presented solely as a means of providing an unfiltered and authentic view of how players experience CS:GO. Most of the time it's just trolling and shouldn't be taken too seriously, however, it is essential to acknowledge that the reviews included have not been censored in any way, shape or form - this is precisely how they were presented on the Steam website.

About the Dataset

This dataset contains a wealth of reviews for the highly acclaimed first-person shooter, CS:GO, or Counter Strike: Global Offensive.. Developed by Valve and Hidden Path Entertainment, the game's impressive longevity and continued player engagement is evident in the wide range of reviews included within this dataset. Featuring opinions on gameplay mechanics, graphics, overall game experience, and more, the dataset offers a vast array of perspectives from players across the board. The diverse mix of reviews lends itself to the possibility of a variety of use cases, including sentiment analysis, natural language processing, and machine learning. The inclusion of both positive and negative reviews ensures that the dataset is comprehensive, providing an accurate and detailed view of the sentiment surrounding the game. As such, this dataset offers valuable insights into the perception of CS:GO by its players and serves as an excellent resource for further research and analysis of the game's popularity, player satisfaction and overall experience.

Artwork source: https://www.artstation.com/artwork/vJyaZO

The Game Acceptance Evaluation Dataset (GAED) contains statistical data aswell training and validation sets used in our experiments on Neural Networks to evaluate Video Games Acceptance.

Please consider citing the following references if you found this dataset useful:

[1] Augusto de Castro Vieira, Wladmir Cardoso Brandão. Evaluating Acceptance of Video Games using Convolutional Neural Networks for Sentiment Analysis of User Reviews. In Proceedings of the 30th ACM Conference on Hypertext and Social Media. 2019.

[2] Augusto de Castro Vieira, Wladmir Cardoso Brandão. GA-Eval: A Neural Network based approach to evaluate Video Games Acceptance. In Proceedings of the 18th Brazilian Symposium on Computer Games and Digital Entertainment. 2019.

[3] Augusto de Castro Vieira, Wladmir Cardoso Brandão. (2019). GAED: The Game Acceptance Evaluation Dataset (Version 1.0) [Data set]. Zenodo.

Replication dataset for Information-1144802

Released on August 19, 2024, and selling 10 million copies within three days, Black Myth: Wukong is one of the fastest-selling video games of all time. Heralded as the Chinese video game industry's first AAA video game production, the title was released on PC and PS5 with an Xbox version following shortly. Black Myth: Wukong was published by Game Science, which is backed by Tencent Gaming, one of the biggest gaming companies in China and worldwide. Lifetime unit sales of Black Myth: Wukong are currently at 25 million units. A record-breaking game release After first teasing the game in 2020, the anticipation for Black Myth: Wukong was extremely high. The title made headlines when Game Science revealed that it would transition the game’s development to the newly released game engine Unreal 5, making it one of the first major titles to do so. This hype caused the game to top charts as soon as pre-orders became available in summer 2024. Apart from selling an unprecedented number of copies within just a few days, Black Myth: Wukong crushed the competition in terms of user engagement, setting records as the second-most played video games on Steam based on peak concurrent players. A week post release, Wukong claimed over 2.4 million peak concurrent users on PC, ranking only behind PUBG, which is even more impressive considering that PUBG is a free-to-play online multiplayer title. Most Black Myth: Wukong’s sales are domestic, based on the fact that the majority of the over half a million reviews on Steam are in Chinese. Additionally, Chinese gamers accounted for about a third of Steam audiences, with nearly 32 percent of Steam users having Simplified Chinese and another 1.2 percent using Traditional Chinese as the language for the PC gaming platform. China’s gaming industry is starting to take off internationally Despite being the biggest video gaming market worldwide based on revenue, the Chinese gaming industry has been hampered by a gaming console ban (which has now been lifted), as well as strict regulations regarding video game releases and gaming consumption among citizens. Some of these strict regulations have caused raised eyebrows during the release of Black Myth: Wukong, as gaming content creators and streamers revealed they had been sent a list of topics to avoid talking about while livestreaming the game. Despite these growing pains, the Chinese gaming industry has been gaining international traction in recent years. Limited to mobile or domestic releases for long, China is now known for leading the way in free-to-play action role-playing titles like Genshin Impact, which gave rise to an entire genre of anime-style open-world online games. There are several factors that play into the popularity of Black Myth: Wukong. One of the key factors of the action game’s success is the source material – the main character of Black Myth: Wukong is based on Sun Wukong, or the Monkey King, a key character in Journey to the West, a beloved piece of classic Chinese literature which has inspired hundreds of interpretations on TV shows, cartoons, movies, and other media adaptions. The cultural relevance of the topic can be regarded as a soft-power move to promote Chinese culture through media content, which is currently booming internationally as Chinese TV drama productions are also gaining more international popularity among Western audiences.