|
--- |
|
license: mit |
|
task_categories: |
|
- text-classification |
|
- summarization |
|
language: |
|
- ta |
|
tags: |
|
- news |
|
- tamil |
|
pretty_name: Hindu Tamil News Dataset |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
|
|
|
|
# HinduTamil News Articles Dataset |
|
|
|
# Overview |
|
This dataset contains news articles in Tamil language scraped from the Hindu Tamil news website. Each article includes its title, author, city, published date, and text. |
|
|
|
# Motivation |
|
This dataset was created to provide a comprehensive collection of Tamil news articles for research and analysis purposes. |
|
|
|
# Data Sources and collection method |
|
The data in this dataset was collected from the Hindu Tamil news website (https://www.hindutamil.in/news/tamilnadu/). |
|
Data was collected from the website using web scraping techniques. |
|
|
|
- Sending HTTP Requests: The requests library in Python was utilized to send HTTP GET requests to the Hindu Tamil news website. These requests fetched the HTML content of each webpage. |
|
|
|
- Parsing HTML Content: The BeautifulSoup library parsed the HTML content, enabling the extraction of specific elements from each webpage. This included gathering article URLs, titles, authors, published dates, and main article text. |
|
|
|
- Iterative Scraping: Data was scraped iteratively from multiple pages of the website. Each webpage typically displayed a list of articles, and the URLs for each article were extracted. Subsequently, each article URL was visited to extract detailed information. |
|
|
|
- Handling Errors and Timeouts: Error and timeout handling was implemented using try-except blocks to ensure smooth operation during the scraping process. |
|
|
|
# Data Cleaning and Preprocessing |
|
|
|
The dataset collected from the Hindu Tamil news website underwent several cleaning and preprocessing steps to ensure it was suitable for analysis and modeling. The steps employed include: |
|
|
|
## Removing Duplicate Entries |
|
- Duplicate entries were identified based on the 'Published' column, as articles with the same published date and time were considered duplicates. |
|
- Duplicate rows were removed using the drop_duplicates() method from the pandas library, ensuring only unique articles remained. |
|
|
|
## Handling NaN Values |
|
- NaN values were handled by removing rows containing NaN values depending on the context. For instance, rows with NaN values in the 'City' or 'Author' column were dropped. |
|
- Rows with missing data in essential columns were excluded from the final dataset. |
|
|
|
## Filtering Out Irrelevant Information |
|
- Irrelevant information such as author's comments, footer text, and advertisements were filtered out from the article text. |
|
- Only the main content of the news article was retained. |
|
|
|
## Formatting Published Dates |
|
- Published dates were extracted from the article content and formatted into a standardized date-time format to ensure consistency. |
|
|
|
# Process for Converting Unstructured Data to Structured Format |
|
|
|
Unstructured data from the HTML content of the website was converted to structured format using BeautifulSoup. |
|
Relevant information such as title, author, city, published date, and text were extracted from the HTML tags and organized into a tabular format. |
|
|
|
# Dataset Structure |
|
The dataset has the following structure: |
|
- Title: Title of the news article |
|
- Author: Author of the news article |
|
- City: City mentioned in the news article |
|
- Published: Published date and time of the news article |
|
- Text: Main content of the news article |
|
|
|
# Sample entries |
|
|
|
|
|
| Title | Author | City | Published | Text | |
|
| --- | --- | --- | --- | --- | |
|
| ரூ.1.10 கோடி மான நஷ்டஈடு கோரி | ஆர்.பாலசரவணக்குமார் | சென்னை | 2024-02-26 17:02:00 | சென்னை: அதிமுக முன்னாள் நிர்வாகி... | |
|
| தமிழ்நாடு காங்கிரஸ் கமிட்டியில் | செய்திப்பிரிவு | சென்னை | 2024-02-26 16:52:00 | சென்னை: தமிழ்நாடு காங்கிரஸ் கமிட்டிக்கு இரண்டு துணைத்... | |
|
| பரந்தூர் விமான நிலைய எதிர்ப்பு போராட்டம் | இரா.ஜெயப்பிரகாஷ் | காஞ்சிபுரம் | 2024-02-26 16:30:00 | காஞ்சிபுரம்: காஞ்சிபுரம் அருகே பரந்தூர் விமான நிலையத்துக்கு எதிராக... | |
|
|
|
# Data Usage |
|
Users can use this dataset for text analysis, natural language processing, and sentiment analysis of Tamil news articles. |
|
|
|
# License |
|
|
|
This dataset is provided under the MIT License. |
|
|
|
MIT License |
|
|
|
Copyright (c) 2024 Shweta Sandeep Sukhtankar |
|
|
|
Permission is hereby granted, free of charge, to any person obtaining a copy |
|
of this dataset and associated documentation files (the "Dataset"), to deal |
|
in the Dataset without restriction, including without limitation the rights |
|
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
|
copies of the Dataset, and to permit persons to whom the Dataset is |
|
furnished to do so, subject to the following conditions: |
|
|
|
The above copyright notice and this permission notice shall be included in all |
|
copies or substantial portions of the Dataset. |
|
|
|
THE DATASET IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
|
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
|
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
|
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
|
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
|
OUT OF OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE |
|
DATASET. |
|
|
|
|
|
# Citation |
|
If you use this dataset, please cite it as: |
|
Sukhtankar, Shweta. (2024). Tamil News Articles Dataset. |
|
|
|
|
