H.3. Artificial Intelligence
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian Texts

Mahdi Rasouli; Vahid Kiani

Volume 11, Issue 4 , November 2023, , Pages 587-598


  The identification of emotions in short texts of low-resource languages poses a significant challenge, requiring specialized frameworks and computational intelligence techniques. This paper presents a comprehensive exploration of shallow and deep learning methods for emotion detection in short Persian ...  Read More

H.3. Artificial Intelligence
Mehr: A Persian Coreference Resolution Corpus

Hassan Haji Mohammadi; Alireza Talebpour; Ahamd Mahmoudi Aznaveh; Samaneh Yazdani

Volume 11, Issue 3 , July 2023, , Pages 407-416


  Coreference resolution is one of the essential tasks of natural languageprocessing. This task identifies all in-text expressions that refer to thesame entity in the real world. Coreference resolution is used in otherfields of natural language processing, such as information extraction,machine translation, ...  Read More

Document and Text Processing
Persian Address Geocoding: an LALR Parsing and Dynamic Programming Approach

A.R. Mazochi; S. Bourbour; M. R. Ghofrani; S. Momtazi

Volume 11, Issue 2 , April 2023, , Pages 291-302


  Converting a postal address to a coordinate, geocoding, is a helpful tool in many applications. Developing a geocoder tool is a difficult task if this tool relates to a developing country that does not follow a standard addressing format. The lack of complete reference data and non-persistency of names ...  Read More

ParsNER-Social: A Corpus for Named Entity Recognition in Persian Social Media Texts

M. Asgari-Bidhendi; B. Janfada; O. R. Roshani Talab; B. Minaei-Bidgoli

Volume 9, Issue 2 , April 2021, , Pages 181-192


  Named Entity Recognition (NER) is one of the essential prerequisites for many natural language processing tasks. All public corpora for Persian named entity recognition, such as ParsNERCorp and ArmanPersoNERCorpus, are based on the Bijankhan corpus, which is originated from the Hamshahri newspaper in ...  Read More

H.3.8. Natural Language Processing
A Novel Approach to Conditional Random Field-based Named Entity Recognition using Persian Specific Features

L. Jafar Tafreshi; F. Soltanzadeh

Volume 8, Issue 2 , April 2020, , Pages 227-236


  Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a text. Machine-learning-based methods have good performance ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
MHSubLex: Using Metaheuristic Methods for Subjectivity Classification of Microblogs

H.R Keshavarz; M. Saniee Abadeh

Volume 6, Issue 2 , July 2018, , Pages 341-353


  In Web 2.0, people are free to share their experiences, views, and opinions. One of the problems that arises in web 2.0 is the sentiment analysis of texts produced by users in outlets such as Twitter. One of main the tasks of sentiment analysis is subjectivity classification. Our aim is to classify the ...  Read More

H.8. Document and Text Processing
Plagiarism checker for Persian (PCP) texts using hash-based tree representative fingerprinting

Sh. Rafieian; A. Baraani dastjerdi

Volume 4, Issue 2 , July 2016, , Pages 125-133

https://doi.org/doi: 10.5829/idosi.JAIDM.2016.04.02.01

  With due respect to the authors’ rights, plagiarism detection, is one of the critical problems in the field of text-mining that many researchers are interested in. This issue is considered as a serious one in high academic institutions. There exist language-free tools which do not yield any reliable ...  Read More