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Final project in KU's Visualisation course in which we are developing a means of visualising game reviews

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Tobi1kenobi/metacritic-games-vis

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Metacritic game review visualisation

How the data was acquired

Adjectives

4800 adjectives were pulled from https://patternbasedwriting.com/elementary_writing_success/list-4800-adjectives/ using python's beautiful soup. Certain words were deemed to not be adjectives and thus manually removed.

Positive and negative

Positive and negative adjectives were taken from two sources (... and https://www.words-to-use.com/words/movies-tv/) then cross-referenced with the 4800 adjectives. Some adjectives were again manually removed.

Review text

Reviews were pulled from websites using the Beautifulsoup python package. It it possible that some text is derived from sources other than the body of the review e.g. user comments, but the hope is that this is by far the minority when looking at all the reviews' adjectives.

Review scores, platforms and release dates

This data was pulled from https://www.kaggle.com/destring/metacritic-reviewed-games-since-2000

Genres, developers and publisher

These will be pulled from the metacritic pages after generating a url using the games' names and platforms.

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Final project in KU's Visualisation course in which we are developing a means of visualising game reviews

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