درخت حوزه‌های تخصصی

Sentiment Analysis or opinion mining is NLP's method to computationally identify and categorize user opinions expressed in textual data.  Mainly it is used to determine the user's opinions, emotions, appraisals, or judgments towards a specific event, topic, product, etc. is positive, negative, or neutral. In this approach, a huge amount of digital data generated online from blogs and social media websites is gathered and analyzed to discover the insights and help make business decisions. Social media is web-based applications that are designed and developed to allow people to share digital content in real-time quickly and efficiently.  Many people define social media as apps on their Smartphone or tablet, but the truth is, this communication tool started with computers. It became an essential and inseparable part of human life. Most business uses social media to market products, promote brands, and connect to current customers and foster new business. Online social media data is pervasive. It allows people to post their opinions and sentiments about products, events, and other people in the form of short text messages. For example, Twitter is an online social networking service where users post and interact with short messages, called "tweets." Hence, currently, social media has become a prospective source for businesses to discover people's sentiments and opinions about a particular event or product. This paper focuses on the development of a Multinomial Naïve Bayes Based social media data emotion analyzer and sentiment classifier. This paper also explains various enriched methods used in pre-processing techniques. This paper also focuses on various Machine Learning Techniques and steps to use the text classifier and different types of language models.

Today, managers in the public and private sectors consider having knowledge of laws and green issues to be important and necessary for the survival of their organizations. Therefore, human resources are one of the most important factors in environmental management and must be involved in strategic decisions. Green Human Resource Management focuses on the company's environmental management practices, in which human resource management acts as a platform for linking human resource management actions to the company's environmental management activities. The world is really entering and experiencing a green economy. Green economy is one of the new topics of scientific societies in recent decades, which aims at human welfare, social justice and creating confidence in environmental protection along with economic growth. The success of a company's environmental management depends on the environmentally friendly behavior of its employees. Because their behavior improves the company's environmental performance. Given that the research article is a promotional article with a review of resources and previous research, finally provides practical solutions for the development and evolution of human resources in the framework of green management that can be defined by variables in future research.