Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
Volume 13 (2015)
Volume 12 (2014)
Volume 11 (2013)
Volume 10 (2012)
Volume 9 (2011)
Volume 8 (2010)
Volume 7 (2009)
Volume 6 (2008)
Volume 5 (2007)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)
Forecasting the Subject Trend of International Library and Information Science Research by 2030 Using the Deep Learning Approach

Farzaneh Ghanadi Nezhad; Farideh Osareh; Mohammad Reza Ghane

Volume 20, Issue 1 , January 2022

Abstract
  This study seeks to forecast the subject trend of library and information science research until 2030 based on modeling previous research topics in this field, which has been done with a text mining and in-depth learning approach. After pre-processing and thematic classification of the studies, deep ...  Read More

The application of Deep Learning in Persian Documents Sentiment Analysis

Mohammad Bagher Dastgheib; Sara Koleini; Farzad Rasti

Volume 18, Issue 1 , February 2020, , Pages 1-15

Abstract
  Nowadays the amount of textual information on the web is grown rapidly. The huge textual data needs more accurate classification algorithms. Sentiment analysis is a branch of text classification that is used to classify user opinions in case of market decisions, product evaluations or measuring consumer ...  Read More