no code implementations • 17 Mar 2024 • Mohammad Heydari, Mohsen Khazeni, Mohammad Ali Soltanshahi
Recently, there has been a growing interest in the use of deep learning techniques for tasks in natural language processing (NLP), with sentiment analysis being one of the most challenging areas, particularly in the Persian language.
no code implementations • 9 Mar 2024 • Mohsen Khazeni, Mohammad Heydari, Amir Albadvi
The lack of a suitable tool for the analysis of conversational texts in the Persian language has made various analyses of these texts, including Sentiment Analysis, difficult.
no code implementations • 9 Mar 2024 • Mohammad Heydari, Reza Sarshar, Mohammad Ali Soltanshahi
Healthcare data is a valuable resource for research, analysis, and decision-making in the medical field.
no code implementations • 19 Feb 2024 • Mohammad Heydari, Babak Teimourpour
To the author's knowledge, this method has not been employed in the Persian language before on Instagram social network.
no code implementations • 13 Feb 2024 • Reza Sarshar, Mohammad Heydari, Elham Akhondzadeh Noughabi
A total of 2300 patient images were extracted from this raw data.
no code implementations • 25 Sep 2023 • Mohammad Heydari, Babak Teimourpour
Patent analysis has recently been recognized as a powerful technique for large companies worldwide to lend them insight into the age of competition among various industries.
no code implementations • 8 Aug 2023 • Ali Bayat, Mohammad Heydari, Amir Albadvi
The decline in ecological connections signifies the potential extinction of species, which can be attributed to disruptions and alterations.
no code implementations • 21 Jul 2023 • Mohammad Heydari, Yanan Fan, Kin Keung Lai
Hence, computers as well as the chemical engineering [1069-1085] has been developed for considering uncertainty illustrated through a given probability distribution.
no code implementations • 9 Jun 2023 • Mohammad Heydari, Matineh Moghaddam, Khadijeh Gholami, Habibollah Danai
In this study, focusing on organizations in a rapid-response component model (FRO), the relative importance of each one, from the point of view of customers and their impact on the purchase of Shahrvand chain stores determined to directors and managers of the shops, according to customer needs and their priorities in order to satisfy the customers and take steps to strengthen their competitiveness.
no code implementations • 9 Jun 2023 • Mohammad Heydari, Matineh Moghaddam, Habibollah Danai
In this study, the relationship between burnout and family functions of the Melli Iran Bank staff will be studied.
1 code implementation • 12 Mar 2020 • Mohammad Heydari, Babak Teimourpour
To reach a big picture of science production flow, analysis of the collaboration network is crucial.
no code implementations • 9 Jul 2019 • Mohammad Heydari
The Persian language has strong potential for deep research in any aspect of natural language processing, especially sentimental analysis approach.