Movie reviews (comment + rating) for 10 movies gathered from IMDB website

Published: 14-03-2018| Version 1 | DOI: 10.17632/nmpxc6ffh4.1
Contributor:
Abdessamad Benlahbib

Description

We have created manually 10 datasets for 10 different movies, each one contains 100 reviews (comment + rating) randomly extracted and we made sure that the datasets are representatives based on IMDB users weighted average vote. For each movie, we have created 100 files named from 1 to 100, each one of them contains an opinion toward the target movie. expressed in natural language (ENG). Furthermore, we have created a file named "rating.txt" that contains an arrray of numbers, each number repsresents the rating (numeric scale) attached to a specific opinion toward the target movie. This is what the rating file looks like: rating = [ 9 , 10 , 3 ,...................] Interpretation : The user that posted the review stored in "1.txt" file has given a 9/10 as rating to the target movie. The user that posted the review stored in "2.txt" file has given a 10/10 as rating to the target movie. The user that posted the review stored in "3.txt" file has given a 3/10 as rating to the target movie.

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