After aspect-base sentiment annotation and text-image matching, we obtain 2,719 text-image pairs and 610 distinct aspects in total. It is the first aspect-based multimodal Chinese product review dataset.Xu, CarolVanke Meisha AcademyLuo, Xuan...
Sentiment-Analysis-on-the-Rotten-Tomatoes-movie-review-dataset:烂番茄影评语料库是Pang和Lee在[2]中收集的影评集。该语料库已在[3 行业研究 - 数据集心愁**rⅡ 上传3.25 MB 文件格式 zip Python 对烂番茄电影评论数据集的情绪分析 烂番茄影评语料库是Pang和Lee在[2]中收集的影评集。 该语料库已在 [3]...
ASAPis a large-scale Chinese restaurant review dataset for Aspect category Sentiment Analysis (ACSA) and review rating Prediction (RP). ASAP includes 46, 730 genuine user reviews from theDianpingApp, a leading Online-to-Offline (O2O) e-commerce platform. Besides a 5-star scale rating, each re...
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...
For the Python Jupyter notebook source code and dataset, check out my github repo. For an updated word-level English model, check out my other blog: Simple Stock Sentiment Analysis with news data in Keras. Tags: Sentiment analysis Current rating: 3.2 1 2 3 4 5 Share on Twitter Share ...
In this paper, a unique dataset that consists of government smart apps Arabic reviews, domain aspects and opinion words is produced. It illustrates the approach that was carried out to manually annotate the reviews, measure the sentiment scores to opinion words and build the desired lexicons. ...
Applications that run on an EC2 instance must include AWS credentials in the AWS API requests. you can and should use an IAM role to managetemporarycredentials for applications that run on an EC2 instance. the role supplies temporary permissions that applications can use when they make calls to...
(TP) out of all positive instances in testing dataset, considering both true positives (TP) and false negatives (FN) as shown in Eq. (3). F1-value, as demonstrated in Eq. (4), is harmonic mean of precision and recall. It is calculated by multiplying precision and recall by two and ...
This study compares the performance differences of these two deep learning models, involving two dimensions: dataset size for training, long/short text, and quantitative evaluation on five indicators including running speed, accuracy, recall, F1 value, and AUC. The corpus uses the datasets officially...
Social media-based COVID-19 sentiment analysis was done by Mohamed et al. [50]. A bidirectional long short-term memory (Bi-LSTM) model was employed for classification purposes. The authors used three datasets obtained from Twitter and Reddit platforms. The dataset collection duration was 2017 ...