The IMDb Movie Reviews dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database (IMDb) labeled as positive or negative. The dataset contains an even number of positive and negative reviews. Only highly polarizing reviews are considered. A negative...
中文关键词：电影评论、二进制情绪分类、高度极地、基准数据集，数据格式：TEXT 数据介绍：Large Movie Review Dataset This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training...
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 movie <- read.csv("/Users/Cameron/Desktop/myproject/movie/movie.csv", header=TRUE,stringsAsFactor...
We'll use the Large Movie Review Dataset that contains the text of 50,000 movie reviews from the Internet Movie Database. These are split into 25,000 reviews for training and 25,000 reviews for testing. The training and testing sets are balanced, meaning they contain an equal number of po...
This study evaluates the performance of four Nave Bayes variations using two vectorization techniques, Count Vectorizer and Term Frequency–Inverse Document Frequency (TF–IDF), on two movie review datasets: IMDb Movie Reviews Dataset and Rotten Tomatoes Movie Reviews. Bernoulli Naive Bayes achieved the...
respect to their subjectivity status (subjective or objective) or polarity.中文关键词：电影,情感剖析,情绪极性,主观评价,地位,英文关键词：Movie,Sentiment-analysis,Sentiment polarity,Subjective rating,Status,数据格式：TEXT 数据用途：The data set could be used for nature speech processing and analysis.
MIT license Mamba Movie Reviews Classification with IMDB Dataset This repository demonstrates how to perform text classification using the Mamba model on the IMDB dataset. The IMDB dataset contains movie reviews labeled as positive or negative, and this project aims to build a custom Mamba model to...
I used the dataset in Tableau to generate a JSON file that described the relationships between these groups of actors and their various films. I then fed this into Viz Champion Tristan Guillevin’s network tool which generated a Tableau workbook for me to further explore. ...
This is a movie review dataset in the Korean language. Reviews were scraped fromNaver Movies. The dataset construction is based on the method noted inLarge movie review datasetfrom Maas et al., 2011. Data description Each file is consisted of three columns:id,document,label ...
It uses the IMDB dataset that contains the text of 50,000 movie reviews from the Internet Movie Database. These are split into 25,000 reviews for training and 25,000 reviews for testing. The training and testing sets are balanced, meaning they contain an equal number of positive and negativ...