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Global Textual Quotes Dataset
Data Science and Analytics
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Free
About
This is a beginner-friendly textual dataset designed primarily for Natural Language Processing (NLP) and recommendation engine development. Its core purpose is to facilitate the building of content-based recommendation systems by leveraging textual data, enabling data preprocessing using NLP methods, and supporting textual dataset analysis. It is ideal for exploring user preferences through text.
Columns
- Id: A unique identifier for each individual quote.
- language: Specifies the language in which the quote is written.
- Quote: Contains the actual content or text of the quote.
- Quote_url: Provides the URL linking to the original source of the quote.
- Author: States the name of the author associated with the quote.
- Author_Profile: Offers a URL to the author's profile, where available.
- Tags: Lists relevant tags or genres that categorise the quote.
Distribution
The dataset files are typically in CSV format. A sample file will be updated separately on the platform. It contains approximately 2.13 million unique records, identified by their unique IDs. There are 852 unique authors represented within the dataset.
Usage
This dataset is suited for:
- Developing content-based recommendation engines that personalise suggestions based on user preferences.
- Applying various Natural Language Processing (NLP) methods for data preprocessing, text analysis, and feature extraction.
- Conducting textual dataset analysis to uncover patterns, themes, or insights within large collections of quotes.
- Serving as a practical resource for educational purposes in data science and machine learning.
Coverage
The geographic scope of the dataset is global. Information regarding a specific time range or demographic scope for the quotes is not detailed in the provided materials.
License
CC0
Who Can Use It
- Data scientists and analytics professionals focused on text-driven insights.
- Machine learning engineers building or experimenting with NLP models and recommendation systems.
- Beginners in data science or machine learning seeking a practical, textual dataset for learning and project development.
- Researchers interested in textual data and its applications in AI and ML.
Dataset Name Suggestions
- Quotes for NLP & Recommendations
- Global Textual Quotes Dataset
- Content-Based Recommendation Quotes
- Text Data for NLP Projects
- Quotes Collection for Analytics
Attributes
Original Data Source: Quotes Dataset
QUALITY