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Fatemeh Zarmehr, Asefeh Asemi, Mitra Pashootanizade,
Volume 1, Issue 1 (4-2014)

Background and Aim: The purpose of the present study was to investigate the opinion of blind and visually impaired of the possibility of employing gadgets in delivering resources and information services to them.

Method: The research method was descriptive - survey and questionnaires were used to collect data. The data was analyzed by descriptive and inferential statistics.

Results: The result showed that respondent approved the use of information resources and services through variety of gadgets and the fact that gadgets are generally more desirable.  Based on the agreement in regard to the gadgets used as resources and information services to blind and visually impaired it was found that mobile phone and pocket PC were in  the first place (56.7%), Google glasses in second place(55%) e-book readers in third place (54.4%), tablets in fourth place (54.2%) and RFID systems in fifth place (44.1%).

Conclusion: Based on the findings of the study it is concluded that blinds ability to use gadgets in optimal utilization of resources and information services is possible and more than desirable.  As a results we can make proper use of the new technology in order to present resources and information services to blinds and visually impaired

Dr Ali Mansouri, Mrs Fatemeh Zarmehr, Dr Hossein Karshenas,
Volume 7, Issue 1 (6-2020)

Background and aim: Four text mining methods are examined and focused on understanding and identifying their properties and limitations in subject discovery.
Methodology: The study is an analytical review of the literature of text mining and topic modeling. 
Findings: LSA could be used to classify specific and unique topics in documents that address only a single topic. The other three text mining methods focus on topics and general partiality of the text. PLSA is applicable to documents dealing with a topic, unlike the LSA, it is used to discover general themes and contexts. However, LDA is more applicable to documents that address several issues. The CTM, method can be used to identify relationship between different subject categories.
Conclusion: Text mining tactics are suitable for employing analysis in discovering and extracting the text subjects.

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