Persica-A new Persian corpus for NLP download

Lack of multi-application text corpus despite of the surging text data is a serious bottleneck in the text mining and natural language processing especially in Persian language. This project presents a new corpus for NEWS articles analysis in Persian called Persica. NEWS analysis includes NEWS classification, topic discovery and classification, category classification and many more procedures. Dealing with NEWS has special requirements and first of all a valid and reliable corpus to perform the experiments on them.
Please use this reference to cite us:
@inproceedings{eghbalzadeh2012persica,
title={Persica: A Persian corpus for multi-purpose text mining and Natural language processing},
author={Eghbalzadeh, Hamid and Hosseini, Behrooz and Khadivi, Shahram and Khodabakhsh, Ali},
booktitle={Telecommunications (IST), 2012 Sixth International Symposium on},
pages={1207--1214},
year={2012},
organization={IEEE}
}

Project Samples

Project Activity

See All Activity >

License

Creative Commons Attribution ShareAlike License V2.0

Follow Persica-A new Persian corpus for NLP

Persica-A new Persian corpus for NLP Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Persica-A new Persian corpus for NLP!

Additional Project Details

Database Environment

Microsoft SQL Server

Registered

2012-06-12

Similar Business Software

TextRazor

The TextRazor API helps you extract and understand the Who, What, Why and How from your news stories with unprecedented accuracy and speed. Entity Extraction, Disambiguation and Linking. Keyphrase Extraction. Automatic Topic Tagging and Classification. All in 12 languages. Deep analysis of your...

See Software
NLTK

The Natural Language Toolkit (NLTK) is a comprehensive, open source Python library designed for human language data processing. It offers user-friendly interfaces to over 50 corpora and lexical resources, such as WordNet, along with a suite of text processing libraries for tasks including...

See Software
LM-Kit.NET

LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem. Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making...

See Software
Watson Natural Language Understanding

Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords,...

See Software
Rinalogy Classification API

Rinalogy Classification API is a scalable machine learning service that can easily integrate with your application and run in your own environment. Unlike cloud machine learning APIs that run in an environment out of your control and require you to transfer all of your data, Rinalogy...

See Software
TextBlob

TextBlob is a Python library for processing textual data, offering a simple API to perform common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and classification. It stands on the giant shoulders of NLTK and Pattern, and plays...

See Software