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risqaliyevds/uzbek-sentiment-analysis

Uzum Market Sentiment Analysis Dataset About the Dataset This dataset is created for performing sentiment analysis on comments from Uzum Market. The dataset allows for evaluating the sentiments in the comments and categorizing them into various ratings. Data Structure The data is provided in JSON format with the following structure: { "features": ["normalized_review_text", "rating"], "num_rows": 352151 } Ratings are defined as follows:… See the full description on the dataset page: https://huggingface.co/datasets/risqaliyevds/uzbek-sentiment-analysis.

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Uzum Market Sentiment Analysis Dataset

About the Dataset

This dataset is created for performing sentiment analysis on comments from Uzum Market. The dataset allows for evaluating the sentiments in the comments and categorizing them into various ratings.

Data Structure

The data is provided in JSON format with the following structure:

json

{
    "features": ["normalized_review_text", "rating"],
    "num_rows": 352151
}

Ratings are defined as follows:

python

rating_to_label = {
    1: 'very poor',
    2: 'poor',
    3: 'fair',
    4: 'good',
    5: 'excellent'
}

Preparation Guidelines

The following guidelines were followed in preparing this dataset:

1.Normalized review texts and their ratings were extracted.
2.Each rating is associated with different quality indicators (good, average, bad, etc.).

Examples

Here are some examples from the dataset:

—normalized_review_text: ["The product is very good, I recommend it!", "The service quality is bad, not satisfied."]
—rating: [5, 1]

Download

You can download this dataset using the following code:

python

from datasets import load_dataset

dataset = load_dataset("risqaliyevds/sentiment-analysis-uzbek")

License

This dataset is provided as open source and is available for free use by all users.

Contact

If you have any questions or need more information, please contact us. LinkedIn: Riskaliev Murad