118 datasets found

A dataset for sentiment analysis on Spanish reviews.

A novel model for universal and unsupervised sentiment analysis driven by a set of syntactic rules for semantic composition.

The Yelp Dataset contains 1.6M reviews and 500K tips by 366K users for 61K businesses; 481K business attributes, such as hours, parking availability, ambience; and check-ins for...

The dataset used for training and evaluation of the proposed RRHF paradigm.

The dataset used in the paper is a large-scale graph dataset, consisting of users and shows with multi-attribute edges. The graph is constructed by selecting user IDs and side...

This dataset contains tweets classified as AAE or Mainstream American English (MAE). Tweets were classified using an ML model, and we consider a subset of tweets where the model...

ArSarcasm-v2 is a dataset for sentiment analysis, sarcasm detection, and dialect identification in Arabic tweets.

The dataset used for sentiment analysis and topic classification tasks.

1000 randomly sampled movie reviews from IMDB dataset

1000 randomly sampled reviews for restaurants from Yelp’s 13 dataset

Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales.

The Yelp dataset challenge contains reviews and images of restaurants, with the goal of recommending images for each review.

The dataset contains scripts of 34 movies from different genres, with a focus on sentiment and emotion analysis.

The dataset used in the paper is Twitter data, which is used for sentiment analysis. The dataset contains user-level sentiments on specific topics.

The pushshift reddit dataset

The IMDB dataset is a polarity dataset for sentiment analysis or text classification, it contains 50000 sentences and their binary class labels, being either "Positive" or...

The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.

The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.

The dataset used for the experiments across ten models– ranging from bag-of-words models to pre-trained transformers– and find that a model having higher AUC does not necessarily...

The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.