task_categories:text-classification language:en license:cc-by-nc-nd-4.0 finance code region:us
---
license: cc-by-nc-nd-4.0
task_categories:
- text-classification
language:
- en
tags:
- finance
- code
---

# Russian Marketplace Reviews E-Commerce Dataset

The **Russian Marketplace Reviews E-Commerce Dataset** is a comprehensive collection of data curated from a popular e-commerce platform. It contains a vast amount of *reviews, information about date and time of the review and its ratings*, offering valuable insights into consumer preferences and behaviors in the Russian marketplace.

This dataset encompasses a wide range of products across different categories, including *electronics, appliances, clothing, cosmetics, home goods, and more*.  It is also valuable for sentiment analysis and opinion mining. Researchers can leverage the labeled review ratings to train models that classify reviews into *positive, negative, or neutral* sentiments. 

### The dataset's possible applications:
- recommendation systems
- sentiment analysis algorithms
- consumer behavior analysis
- customer satisfaction analysis
- marketing and advertising

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2Fa793b3871afaa47d5efd8ad95bae38b1%2F.png?generation=1690373202127490&alt=media)

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=russian-marketplace-reviews-e-commerce-dataset) to discuss your requirements, learn about the price and buy the dataset.

# File with the extension .xlsx

includes the following information:

- **product_url**: link to the product,
- **product_title**: title of the product, 
- **user_nickname**: nickname of the comment's author,
- **comment_date**: date of the comment, 
- **comment_stars**: number of stars given to the product,
- **comment_text**: text of the comment, 
- **comment_likes_count**: number of likes on the comment,
- **comment_dislikes_count**: number of dislikes on the comment

# Reviews Parsing might be made in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=russian-marketplace-reviews-e-commerce-dataset) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**