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

L. Jafar Tafreshi; F. Soltanzadeh

Volume 8, Issue 2 , Spring 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
2. MHSubLex: Using Metaheuristic Methods for Subjectivity Classification of Microblogs

H.R Keshavarz; M. Saniee Abadeh

Volume 6, Issue 2 , Summer 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
3. Plagiarism checker for Persian (PCP) texts using hash-based tree representative fingerprinting

Sh. Rafieian; A. Baraani dastjerdi

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

  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