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Binary Turkish Text Sentiment Data
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This collection of customer opinions is designed specifically to support binary sentiment classification models using the Turkish language. It consists of Turkish customer reviews suitable for text analysis. The dataset was initially gathered to meet the needs of an analytical study, and users engaging in academic research are requested to cite the relevant article.
Columns
The dataset contains two key columns:
- Görüş (Görüş Kolonu): This column contains the raw Turkish customer reviews or opinions. It includes 8485 unique text values.
- Durum (Duygu Durumu Kolonu): This column indicates the sentiment status associated with the review, classifying it into one of two unique categories: Olumlu (Positive) or Olumsuz (Negative).
Distribution
The data is provided in a CSV file format named
magaza_yorumlari.csv, which has a size of 2.64 MB. The dataset structure includes two columns and 8491 records in total. The sentiment labels are perfectly balanced, with 50% of the records marked as Positive and 50% marked as Negative. Two records contain missing values in the review text column, while the sentiment status column is entirely populated. The dataset's expected update frequency is 'Never'.Usage
This resource is ideal for developing and testing models in machine learning and deep learning. Specific use cases include:
- Training Binary Classification algorithms to automatically determine sentiment from Turkish text.
- Developing Neural Networks for natural language processing tasks.
- Implementing Logistic Regression models for text sentiment prediction.
- Academic studies focused on Turkish language processing and emotion detection.
Coverage
The data is focused exclusively on Turkish customer reviews and opinions, providing linguistic coverage for this specific language. Since the records represent general customer opinions, they offer a broad demographic scope concerning consumer behavior but lack specific geographic or time range information.
License
CC0: Public Domain
Who Can Use It
The dataset is primarily intended for:
- Data Scientists and Machine Learning Engineers: For training, benchmarking, and developing sentiment analysis models.
- Academics and Students: For conducting research in text mining, deep learning, and Turkish natural language processing (NLP).
- Businesses: For proof-of-concept projects requiring initial Turkish sentiment training data.
Dataset Name Suggestions
- Turkish Sentiment Analysis Review Data
- Duygu Analizi Veri Seti (Olumlu/Olumsuz)
- Turkish Customer Opinion Polarity Dataset
- Binary Turkish Text Sentiment Data
Attributes
Original Data Source: Binary Turkish Text Sentiment Data
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