Analyzing movie trends in games based on public data
Ratia, Kristian (2019)
Ratia, Kristian
2019
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201904256017
https://urn.fi/URN:NBN:fi:amk-201904256017
Tiivistelmä
Making a game will take time from a couple of months to a couple of years. The Time needed depends on how large and polished the game will be. Big game companies can use hundreds of millions dollars to make a game while small indie game companies use only a couple of thousands of dollars. There is a huge difference between game budgets, but every company has the same problem: predicting if the game will sell. Big companies will use their resources for the market research. Making the research will take time and cost money.
The movie industry is another big industry that uses a lot of money for making an entertainment product and also uses a lot of money to research which movies could succeed. Big movie studios begin marketing new movies as soon as possible. It is possible to know what kinds of movies are coming next year.
This thesis studies whether there are any correlation between movies and games. It is done by comparing movie tags to games tags. Tags are downloaded from IMDb and Steam which are public databases. This thesis study only does the amount of tags correlate together. It does not study whether the income of movies and games correlate together.
This thesis proves that there is a correlation between the amount of movie and game tags. An average correlation is strong enough so that predicting incoming games from incoming movies is possible.
The movie industry is another big industry that uses a lot of money for making an entertainment product and also uses a lot of money to research which movies could succeed. Big movie studios begin marketing new movies as soon as possible. It is possible to know what kinds of movies are coming next year.
This thesis studies whether there are any correlation between movies and games. It is done by comparing movie tags to games tags. Tags are downloaded from IMDb and Steam which are public databases. This thesis study only does the amount of tags correlate together. It does not study whether the income of movies and games correlate together.
This thesis proves that there is a correlation between the amount of movie and game tags. An average correlation is strong enough so that predicting incoming games from incoming movies is possible.