# A Novel Bi-Dual Inference Approach for Detecting Six-Element Emotions
## 1 Introduction  
In recent years, the rapid development of the Internet, cloud computing, and artificial intelligence technology has led to the emergence of data-intensive research, often referred to as the \"fourth paradigm\" of scientific discovery. In today's society, influenced by the prevalence of big data, information surrounds us. One key characteristic of the information society is the exponential growth of data generated on a daily basis. Over the past decade, the number of internet users has consistently increased, highlighting the internet's significance in people's lives. Moreover, users have transitioned from passive recipients of information to active producers, as they contribute to the vast amount of information available online. With the presence of social networks, which contain large user bases and exhibit \"small world\" characteristics, news and discussions among netizens can quickly spread and form network public opinion. In the real world, people engage in social activities to communicate with each other. The emergence of online social platforms like Weibo, Facebook, and Twitter has expanded the scope of people's social interactions, blurring the boundaries between their real and virtual lives. Consequently, individuals now regularly share their preferences, interests, opinions, and even their thoughts on movies or othertopics on the internet. However, it is important to note that users do not publish content on social networks without reason. Each comment naturally expresses the user's emotions or attitudes, such as happiness, sadness, anger, fear, disgust, and surprise. For instance, when someone posts a group photo with a friend to celebrate a birthday, it expresses a feeling of happiness. On the other hand, if a recently purchased item does not match the description displayed on the shopping platform, the comments will likely exhibit anger. As a result, social platforms are filled with people's opinions and comments on various products, celebrities, news events, and more. These comments can have a significant impact on subsequent users, shaping public opinion and providing valuable information and commercial insights. Therefore, accurately identifying the emotions expressed in user comments, understanding the public's attitudes and reactions to specific events, and effectively intervening and guiding based on this information are crucial for the stable development of society. Emotions play a significant role in various aspects of our lives, including personal well-being, academic performance, professional success, physical and mental health, and more. On a personal level, emotions can impact our well-being via physical exhaustion, psychological anxiety, and behavioral patterns. At an organizational level, emotions can influence the decision-making and management behavior of leaders. Interpersonally, positive emotions foster harmony, while negative emotions can lead to conflict. Emotions also bear implications for broader social dynamics, such as social image and evaluation. Analyzing the emotional tone of user comments on social platforms is crucial in understanding public sentiment. By examining online discussions, we can gain insights into citizens' opinions on pressing issues, aiding the government in better serving the people and managing public sentiment. Additionally, extracting and analyzing evaluations and sentiments can assist consumers in making informed choices about products and businesses. When people decide to dine at a restaurant, they often rely on online platforms like Meituan and Public Comment to check previous reviews and dish recommendations. Additionally, after their meal, they can share their own evaluation of the restaurant on these platforms, providing assistance to future customers. From the perspective of restaurant owners, they can improve their establishment's image and services based on online evaluations, aiming to attract more customers and generate higher profits in the future.