درخت حوزه‌های تخصصی

Internet-based social channels have turned into an important information repository for many people to get an idea about current trends and events happening around the world. As a result of Abundance of raw information on these social media platforms, it has become a crucial platform for businesses and individuals to make decisions based on social media analytics. The ever-expanding volume of online data available on the global network necessitates the use of specialized techniques and methods to effectively analyse and utilize this vast amount of information. This study's objective is to comprehend the textual information at the Lexical and Semantic level and to extract sentiments from this information in the most accurate way possible. To achieve this, the paper proposes to cluster semantically related words by evaluating their lexical similarity with respect to feature and sequence vectors. The proposed method utilizes Natural Language Processing, semantic and lexical clustering and hybrid C4.5 algorithm to extract six subcategories of emotions over three classes of sentiments based on word-based analysis of text. The proposed approach has yielded superior results with seven existing approaches in terms of parametric values, with an accuracy of 0.96, precision of 0.92, sensitivity of 0.94, and an f1-score of 0.92.

Microfinance institutions in India provide a set of financial services to the economically weaker sections. Recently, a large number of microfinance institutions have emerged in India and they have favorable impact for poverty reduction. The impact of these institutions on entrepreneurship and society, needs to be explored in greater depth. The objective of this study is to apply machine learning techniques to explore this impact. The research uses a MIX dataset for three successive years, namely 2017, 2018, and 2019. This dataset comprises eight variables centered on gross loan portfolio. Principal Component Analysis (PCM) has been applied on the sample dataset for dimensionality reduction, resulting in two main components and each component consist of fraction from eight variables. Then, the sample dataset has been labelled with the help of clustering using K-means clustering technique. Further, classification models based on K-Nearest Neighbors (KNN) algorithm and Support Vector Machine (SVM) are applied to predict the appropriate category of entrepreneurship. The experiment result shows that the machine learning techniques have been found effective and useful tools for estimating the impact of microfinance on entrepreneurship in India.

Purpose: The spread of consumption in this day and age has gone so far that today it is considered an indicator of lifestyle and even some  find modern life without consumption meaningless and unthinkable. In this regard, since the consumption of smuggled cosmetics in West Azerbaijan province has an increasing trend, so in this study, the communicative and social determinants and factors affecting the consumption of smuggled cosmetics in West Azerbaijan province are investigated.Method: The research method is an applied type as regards purpose and has been carried out using a survey method.  The statistical population includes citizens over 15 in West Azerbaijan province, 674 of whom have been selected by multi-stage cluster sampling. Data was collected using a questionnaire and research variables are above 0.7, which indicates the acceptable reliability of the variables. Statistical data analysis was done using SPSS and Lisrel software.Findings: The findings showed that the consumption of smuggled cosmetics and toiletry products is more than average among the respondents and the use of domestic media is less than average and the use of foreign and virtual media is above average. The results of explanatory analyses in the quantitative phase of the research showed  the variables of gender (in favor of women), socio-economic status (in a positive direction), rate of using internal media (in a negative direction), rate of using external media (in a positive direction), The use of virtual media (in a positive direction), health literacy (in a negative direction) and tendency towards differentiation (in a positive direction) have a significant impact on the consumption of smuggled cosmetics and toiletries. It is explained that the impact of foreign and virtual media is greater than other variables.Conclusion: As a result of lack of content management and inaccuracy in advertising in the virtual sector and social media, the possibility of emergence and escalation of social issues and all kinds of deviant trends related to consumerism in the field of cosmetics and toiletry products increases. Also, domestic mass media can be effective in reducing the consumption of cosmetics by not broadcasting commercial advertisements at intervals.

Purpose: Accurate scientific evaluation of researchers by ResearchGate network is still ambiguous. This systematic study seeks to shed some light on this issue.Methods: The study was conducted with a systematic review of the previous studies (articles or reports). The analysis of documents was performed with a targeted keyword search in the reputable Google Scholar, Emerald, and PubMed databases (without limit). Titles and abstracts (if necessary, full texts) of the number of 582 documents (Persian, English, and Spanish) were retrieved (1-10 April 2021) and studied. Then, by removing duplicate or irrelevant data, 57 independent studies were selected for meeting the main research problem of this systematic review (using the PRISMA statement). For drawing diagrams, Excel software was used.Findings: Among 57 previous independent studies  retrieved by systematic review, 30 ones, had a negative attitude towards the ResearchGate.  27 studies saw with positive approach from standpoint the concepts of "authentic measuring instrument", " presence of prominent scientists such as Nobel Prize recipients", "valid scientific content", and "having a significant relationship with the academic ranking criteria", and "compliance with the Hirsch indicator", that was identified by documentary analysis based on PRISMA statement. Studies with a positive assessment of the ResearchGate dealt with developing countries, and with a small investigated research community. Therefore, it is appropriate to act cautiously when evaluating researchers with the ResearchGate network.Originality: No similar systematic review to evaluate the ResearchGate network from the standpoint of a scientific suitable evaluation tool, has been done so far.

Purpose: The purpose of this study is to design an organizational performance model based on the digital status of the organization in the Corona pandemic with a theme analysis approach in the Ministry of Industry, Mine, and Trade (MIMT).Method: This research was conducted with a qualitative approach. The research tool (data collection) was a semi-structured interview in which 27 elites and qualified specialists in MIMT (statistical population of this study) were selected using a purposive sampling approach to qualitative sampling.Finding: The results of data analysis in the qualitative section in the open coding stage identified 79 codes, which finally through axial coding achieved  3 categories (main category) and 21 indicators (subcategory).Conclusion: The main mission and goal of the managers of any organization is the effective and efficient use of various resources and facilities such as labor, capital, materials, energy, and information. Digital transformation, which has always been important as a fundamental and strategic action in organizations, has become more important in recent years following the outbreak of coronavirus; the pressures of the coronavirus epidemic have accelerated the efforts of organizations to create digital transformation

The current research mainly aims to investigate the effective factors in creating a food tourism brand in Shiraz. The statistical population includes all experts in the field of tourism and hotel management, food, cooking, and restaurant industry, and tourists, who were selected using the purposeful sampling method. First, 13 factors were identified according to research literature. The identified factors were given to 10 selected experts who were aware of the desired criteria. Then, the relationships between these factors were determined using the fuzzy Dematel method, and the answer to the second question was also determined. The results showed that the factor of investment in the field of food tourism, and using new advertising tools in this field are the most important thing in creating a food tourism brand in Shiraz. The parameters of food quality and food authenticity are the most effective in this area. In addition, creating a good feeling towards the brand and advertising, in this field are among the most effective parameters, respectively. Food tourism branding issue is the most important issues that should be considered in Shiraz. In this regard, it is possible to identify the foods of Shiraz as intangible cultural heritage, bring them to the national register, prepare their files for global registration in UNESCO, and conduct cultural and political consultations so that the files should be presented at the international level.