movie_facebook_likes:脸书上被点赞的数量 movie_imdb_link:imdb地址 imdb_score:imdb上的评分 num_voted_users:参与投票的用户数量 num_critic_for_reviews:评论家评论的数量 num_user_for_reviews: 用户的评论数量 指标1:电影海报中人脸数量直方图 library(tidyverse) library(stringr) #导入movie.csv文件 ...
IMDb Movie Reviews数据集是一个用于情感分析的标准二元分类数据集,它包含来自互联网电影数据库(Internet Movie Database,简称IMDB)的50,000条评论,这些评论被标记为正面或负面。 评论数量和平衡性:数据集包含50,000条评论,其中正面和负面评论的数量是相等的,即各占一半。 评分标准:评论是基于10分制的评分进行分类的...
The labeled data set consists of 50,000 IMDB movie reviews, specially selected for sentiment analysis. The sentiment of reviews is binary, meaning the IMDB rating < 5 results in a sentiment score of 0, and rating >=7 have a sentiment score of 1. No individual movie has more than 30 rev...
IMDb is the world's most popular and authoritative source for movie, TV and celebrity content. Find ratings and reviews for the newest movie and TV shows. Get personalized recommendations, and learn where to watch across hundreds of streaming providers.
The labeled data set consists of 50,000 IMDB movie reviews, specially selected for sentiment analysis. The sentiment of reviews is binary, meaning the IMDB rating < 5 results in a sentiment score of 0, and rating >=7 have a sentiment score of 1. No individual movie has more than 30 ...
IMDB数据集(Internet Movie Database Dataset)是自然语言处理(NLP)领域中一个非常著名和广泛使用的数据集,主要应用于文本情感分析任务。 IMDB数据集源自全球最大的电影数据库网站Internet Movie Database(IMDb),该网站包含了大量的电影、电视节目、纪录片等影视作品信息,以及用户对这些作品的评论和评分。 数据集包括50,...
The labeled data set consists of 50,000 IMDB movie reviews, specially selected for sentiment analysis. The sentiment of reviews is binary, meaning the IMDB rating < 5 results in a sentiment score of 0, and rating >=7 have a sentiment score of 1. No individual movie has more than 30 rev...
In the proposed work, we have performed SA on the IMDb movie reviews dataset taken from Kaggle's Bag of Words meets Bag of Popcorn challenge to demonstrate how valuable insights can be drawn from a bulk of textual data collected from the internet. We derive these insights by applying four ...
=df[col_name].fillna(method='backfill')returndfdeffn(x):ifx>7.2:# 1218return2elifx>=6:# 2371return1else:return0# 1454deffn1(ins):sent=""" the movie color is{};\actor_1_name is{};\actor_2_name is{};\actor_3_name is{};\language is{};\country is{};\content_rating is{};...
lightbulb See what others are saying about this dataset What have you used this dataset for? Learning 0Research 0Application 0LLM Fine-Tuning 0 How would you describe this dataset? Well-documented 0Well-maintained 0Clean data 0Original 0High-quality notebooks 0Othertext...