Iranian Firm Develops Smart News Editorial Platform

“To develop the UTEX, we have used a combination of multiple language models and text processing algorithms to provide a smooth, accurate, and reliable experience for the user,” said Khosro Hosseinzadeh, the managing director of the knowledge-based company.

“This platform not only can produce text based on the idea, audience, and desired tone, but can also change the tone of the article to formal, friendly, persuasive, and even humorous,” he added.

“With the ability to check Persian grammar, spelling, and writing, UTEX smartly identifies common errors and offers correction suggestions. It also generates SEO-optimized meta descriptions for each article, which increases the visibility of the content in search engines,” Hosseinzadeh said.

Noting that the UTEX is equipped with two important audio features, namely ‘Text-to-Speech’ and ‘Speech-to-Text, he said, “Users can listen to their content or type text by speaking. These features are especially useful for journalists and writers who are on the move or have limited time.”

In a relevant development in 2024, Iranian researchers at Isfahan University had also succeeded in setting up a text mining system for the Persian literary texts in a research supported by the National Science Foundation.

“One of the new fields of computer science is text analysis which enjoys a precise and solid connection with the Persian language and literature in its method and purpose,” Ehsan Rayeesi, a faculty member of Isfahan University who has a PhD in Persian language and literature - mystical literature and a bachelor's degree in software engineering.

He explained that text mining focuses on extraction of valuable information and patterns from unstructured data which has become very popular in the past two decades.

“Designing and developing a web-based system for using artificial intelligence and text mining to analyze and understand text in various fields, from the specialized needs of people studying Persian language and literature to the non-scientific needs of different classes of society, producing technical knowledge, using the methods and techniques of literary sciences for the promotion and development of methods and techniques of text mining and artificial intelligence were among the goals of this project that was fortunately realized,” Rayeesi said.

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