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Creative company Today it emerges as a new market intelligence company. It uses AI to make sentimate analysis of the best game publishers and 1,5 million in conversations about their names.
This means that these players use the best game publishers to understand that they think – with the concepts prepared by machine learning. Creative-in AI, Reddit, YouTube, discord and news were able to analyze more than 1.5 million online conversations in six months. It took about 10 days. The company passed about 9,300 news and feel sources about the publishers of the game. Then, in late April 2025, he made an analysis of the research covering the period since November 1, 2024.
I talked about the results with CotIV CEO Wes Morton, CTO Joe Lai and Coio (General Operations and Information Officer) Vibhu Bhan. Some information from exclusive analysis.
“We call ourselves a car-smart marketing company. And mostly the reason we do, how to do consumer concepts using LLMS,” Morton said. “The research is almost a million in one million and one-half consumer talks about these different publishing houses.”
The purpose of the “Sentiment Analysis” is to learn what these players think about games based on social media. AI has trained to discover the nuances in the game, sarcasm, sarcasm, sarcasm, and more nuances in the game.
“Here the real innovation is better understanding the context and slimming, so the analysis of feeling is more contextual and not just one point,” he said. “If you look at traditional feeling analysis, look at the existence of certain words. However, the language is complicated.”
In recent years, in recent years, a game or zeitgeist around the company appeared in recent years. However, the analysis has suffered the analysis because the analysis, which is often used in the analysis. Now with LLMS, Morton said he had done a better job between more information he understands and can accept complex nuances of machine learning.
In an example, creative, actor Henry Javill found that the fans were not happy when he was fired from the leading role of the aeret in the witch TV show in Netflix. According to Netflix, Netflix has a general negative impact on the witch franchise, because he followed Netflix, because the witch was a general negative impact on Franchise. More than a video game series, the show that affects the overall part arises.
The company eats information and then think about the game publishers to help them to help brands or help them to chat with players. Old reports can understand that a number of words (as the name of the game or company) are used. But often there was no opportunity to understand the full context around a discussion about the game and then understand the correct way. But llms is better in understanding the context around a large amount of information.
“The context is more important, because the sentence may be a few subjects, because the sentences are accepted as a negative reaction as a false reaction,” said Lai.
LLMS has a better ability to understand the context of LAI for language.
“And the beauty of the LLMS is that this game can collect and train our models and train our models,” he said. “If you can develop models for each of these games to discover the news line, but also in a positive or negative way.”
The biggest topics of the conversation
One thing that LLMs takes to take this game to other platforms to make the players stronger ideas and a platform owner’s best game or create more sales. Fans that invested their money on a particular console did not like it.
The biggest topics for the conversation include game earnings, franchises, game platforms, exclusive and industrial consolidation and corporationization. Get acquainted with open communication on rules and studios who are avoiding paid models that affect players, gameplay and mechanics. This is the most extensive trend in the database, consumers, Activeision, EA, Amazon, Netease, Evolution game and those who accept ROBLOX as bad criminals of weak monetizing experiences.
In addition, the LLS seizes the conversations that naturally occur. On the contrary, a research warning the player to the warning for their views. This player may think that he could think of the truth or not because they thought he wanted to hear the researcher.
How do companies grow
Netflix has never been as many history as a game publisher, and mobile games have not yet been a big hit. This helps to explain why players have a negative result. Several part, a game like a NBA game, but many are outside the game on social media.
Morton, like games based on games such as Minecraft, said that the higher estimate of Hollywood and television show and more people who do not know about their games.
“Cool part related to this technology, you can generally potare people who make people happy, sad.
Activation Blizzard talked a lot over the world of Warcraft. However, many players were not fans that the transition was working without any congestion from the company. Ubisoft came out with the worst honey of all the publishers of the game, but it was not clear why. There were many discussions around Assassin’s Creed characters: shades. However, this game has received positive reviews as opposed to previous games like star wars: Outlaws and skulls and bones.
The company for this work did not pay attention to any game. But he could do in the future.
With LLMS, the work can be done within 10 days of work compared to weeks for other methods. Morton, LLMS can only absorb and receive information faster, but can make more information and further analyze. Time analysis can be more granulated, focusing on the character or other details of any game. If this kind of analysis, if there is a negative result, you can give a chance to pivot a number of other characters.
