A comprehensive dataset for sentiment and emotion classification from Bangladesh e-commerce reviews
In the rapidly evolving domain of e-commerce, analyzing customer feedback through reviews is crucial, particularly for understanding and enhancing consumer experience in the Bangladeshi market. Our comprehensive dataset, derived from two Bangladeshi e-commerce platforms, Daraz and Pickaboo, features...
Main Authors: | Mohammad Rifat Ahmmad Rashid, Kazi Ferdous Hasan, Rakibul Hasan, Aritra Das, Mithila Sultana, Mahamudul Hasan |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-04-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092400026X |
Similar Items
-
Multilabel multiclass sentiment and emotion dataset from indonesian mobile application review
by: Riccosan, et al.
Published: (2023-10-01) -
Development and Evaluation of Gold Standard Dataset for Sentiment Analysis of Tweets
by: Saad Ahmed, et al.
Published: (2024-01-01) -
Development and Evaluation of Gold Standard Dataset for Sentiment Analysis of Tweets
by: Saad Ahmed, et al.
Published: (2024-01-01) -
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases
by: Sachin Panchal, et al.
Published: (2023-01-01) -
A Formalization of Multilabel Classification in Terms of Lattice Theory and Information Theory: Concerning Datasets
by: Francisco J. Valverde-Albacete, et al.
Published: (2024-01-01)