PurposeThe purpose of this article is to present an aggregated methodology for construction of the stop word list in Farsi language and generate a generic Farsi stop word list.Design/methodology/approachThe stop word list is extracted based on: syntactic classes, domain dependent, corpus statistic and expert judgments. Some of the main challenges that arise in the Farsi automatic text processing are outlined as well.FindingsResults from the techniques are aggregated and a general Farsi stop word list containing 927 words is generated.Practical implicationsThe created stop word list can affect the efficiency and effectiveness of retrieval and indexing process in Farsi information retrieval system, moreover, it can play an important role during Farsi text segmentation.Originality/valueOur stop word extraction algorithm is a promising technique; it could be applied into other languages that they have ambiguities in automatic text segmentation.
Purpose The purpose of this paper is to introduce chatbot as a new tool of artificial intelligence (AI) and represent the feasibility of using it in different sections of libraries. Design/methodology/approach The present paper is a theoretical paper that was conducted by the library research method. In this paper, while reviewing various articles in the field of a chatbot, has been tried to identify practical usage of chatbot in library and information centers and also illustrate it. Findings Findings show that although chatbot is used in some libraries, but this use is limited. Libraries must use the capabilities of this powerful tool for their own purposes and provide the satisfaction of their users. In addition to the benefits of a chatbot, there are some challenges that should be considered by librarians. Originality/value Few articles have addressed the usage of AI tools such as chatbot in libraries. So, this paper is one of the few articles that express the usage of chatbot in different sections of the library and gives practical examples of their usage in some libraries, mentions the challenges ahead of librarians in the face of this technology.
PurposeIn view of their significance as well as influence, this article aims to examine knowledge management (KM) mechanisms in 20 Iranian e‐government portals used to provide services to citizens.Design/methodology/approachUsing the model “knowledge access, creation and transfer” (K‐ACT), a checklist was developed. This checklist was then applied to demonstrate its utility for evaluating 20 Persian‐language official e‐government portals in Iran.FindingsThe maximum score for the knowledge mechanism was 30 for knowledge creation. The mean score for KM in Iran e‐government portals was 26 per cent. This percentage indicates that e‐government portals in Iran are very poor.Practical implicationsIranian e‐government portals and Iran governors must consider some features in their decisions about portal design. This area requires further work, in particular in elaborating the relationship between e‐government and KM. In addition, planning strategically with key experts to design new models for the adoption of KM in e‐government is of high importance. These experts can be computer specialists, knowledge managers, librarians, portal designers and users of portals.Originality/valueThis study provides an insight into the situation of KM processes in the portals of Iranian ministries.
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