1. A Hybrid Business Success Versus Failure Classification Prediction Model: A Case of Iranian Accelerated Start-ups

Seyed M. Sadatrasoul; O. Ebadati; R. Saedi

Volume 8, Issue 2 , Spring 2020, , Pages 279-287

Abstract
  The purpose of this study is to reduce the uncertainty of early stage startups success prediction and filling the gap of previous studies in the field, by identifying and evaluating the success variables and developing a novel business success failure (S/F) data mining classification prediction model ...  Read More

H.3.8. Natural Language Processing
2. Feature Engineering in Persian Dependency Parser

S. Lazemi; H. Ebrahimpour-komleh

Volume 7, Issue 3 , Summer 2019, , Pages 467-474

Abstract
  Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, ...  Read More