People spend most of their time communicating their thoughts, ideas, attitudes, and emotions on social media platforms like Twitter, however, an important mode of communication as the nonverbal component which require...People spend most of their time communicating their thoughts, ideas, attitudes, and emotions on social media platforms like Twitter, however, an important mode of communication as the nonverbal component which requires visual and audible cues is not allowed due to the nature of these text-based platforms. The aim of this research is to discover the alternative ways Arabs use across different dialects to compensate for the absence of the nonverbal component. To be able to discover that the researchers collected a corpus of tweets written in the Arabic language by using python through the Twitter application programming interface (API). The results can be summed up as follows: emojis helped Arabs to communicate their facial expressions and the top used emoji across the different dialects was Face with Tears of Joy, it was also apparent that the top used emojis reflected the universal emotions, regarding the usage of hand gestures, Egyptian dialect came in the first place and Emirati dialect in the second place. Prosodic features such as the tone and loudness of the voice are expressed by the mean of character repetition, Punctuation usage across the Arabic dialects was limited, and Lebanese seemed to use them the most, Arabs tend to replace punctuation marks with emojis, finally, Arabs used vocal expressions like Interjections to communicate their affective state.展开更多
With over a thousand emoji pictures to represent our words, let’s take a closer look at this fastgrowing language.According to Professor Vyv Evans of Bangor University, Emoji is the UK’s fastest-growing language–ev...With over a thousand emoji pictures to represent our words, let’s take a closer look at this fastgrowing language.According to Professor Vyv Evans of Bangor University, Emoji is the UK’s fastest-growing language–evolving faster than any language in history. These little electronic images started life in Japanese mobile phones in the 90s and are now hugely popular.展开更多
随着基于互联网的社交媒体兴起,Emoji由于具有以图形化方式快速准确地表达情绪的特点,目前已经成为用户在日常交流中广泛使用的图像文本。已有研究工作表明,在基于文本的情绪识别模型中考虑Emoji信息,对于提升模型性能具有重要的作用。...随着基于互联网的社交媒体兴起,Emoji由于具有以图形化方式快速准确地表达情绪的特点,目前已经成为用户在日常交流中广泛使用的图像文本。已有研究工作表明,在基于文本的情绪识别模型中考虑Emoji信息,对于提升模型性能具有重要的作用。目前,考虑Emoji信息的情绪识别模型大多采用词嵌入模型学习Emoji表示,得到的Emoji向量缺乏与目标情绪的直接关联,Emoji表示蕴含的情绪识别信息较少。针对上述问题,该文通过软标签为Emoji构建与目标情绪直接关联的情感分布向量,并将Emoji情感分布信息与基于预训练模型的文本语义信息相结合,提出融合Emoji情感分布的多标签情绪识别方法(Emoji Emotion Distribution Information Fusion for Multi-label Emotion Recognition,EIFER)。EIFER方法在经典的二元交叉熵损失函数的基础上,通过引入标签相关感知损失对情绪标签间存在的相关性进行建模,以提升模型的多标签情绪识别性能。EIFER方法的模型结构由语义信息模块、Emoji信息模块和多损失函数预测模块组成,采用端到端的方式对模型进行训练。在SemEval2018英文数据集上的情绪预测对比实验结果表明,该文提出的EIFER方法比已有的情绪识别方法具有更优的性能。展开更多
The developed system for eye and face detection using Convolutional Neural Networks(CNN)models,followed by eye classification and voice-based assistance,has shown promising potential in enhancing accessibility for ind...The developed system for eye and face detection using Convolutional Neural Networks(CNN)models,followed by eye classification and voice-based assistance,has shown promising potential in enhancing accessibility for individuals with visual impairments.The modular approach implemented in this research allows for a seamless flow of information and assistance between the different components of the system.This research significantly contributes to the field of accessibility technology by integrating computer vision,natural language processing,and voice technologies.By leveraging these advancements,the developed system offers a practical and efficient solution for assisting blind individuals.The modular design ensures flexibility,scalability,and ease of integration with existing assistive technologies.However,it is important to acknowledge that further research and improvements are necessary to enhance the system’s accuracy and usability.Fine-tuning the CNN models and expanding the training dataset can improve eye and face detection as well as eye classification capabilities.Additionally,incorporating real-time responses through sophisticated natural language understanding techniques and expanding the knowledge base of ChatGPT can enhance the system’s ability to provide comprehensive and accurate responses.Overall,this research paves the way for the development of more advanced and robust systems for assisting visually impaired individuals.By leveraging cutting-edge technologies and integrating them into amodular framework,this research contributes to creating a more inclusive and accessible society for individuals with visual impairments.Future work can focus on refining the system,addressing its limitations,and conducting user studies to evaluate its effectiveness and impact in real-world scenarios.展开更多
As the so-called'IP fever'in China’s film industry sputters to a halt,producers are hoping animation will help boost a faltering business model.Originating from China’s online culture,'intellectual prope...As the so-called'IP fever'in China’s film industry sputters to a halt,producers are hoping animation will help boost a faltering business model.Originating from China’s online culture,'intellectual property'(IP)can refer to online novels,games,or streamed entertainment that are considered marketable as mainstream media.Ahead of this year’s international Licensing Expo,held in Shanghai from July 18 to 20,展开更多
文摘People spend most of their time communicating their thoughts, ideas, attitudes, and emotions on social media platforms like Twitter, however, an important mode of communication as the nonverbal component which requires visual and audible cues is not allowed due to the nature of these text-based platforms. The aim of this research is to discover the alternative ways Arabs use across different dialects to compensate for the absence of the nonverbal component. To be able to discover that the researchers collected a corpus of tweets written in the Arabic language by using python through the Twitter application programming interface (API). The results can be summed up as follows: emojis helped Arabs to communicate their facial expressions and the top used emoji across the different dialects was Face with Tears of Joy, it was also apparent that the top used emojis reflected the universal emotions, regarding the usage of hand gestures, Egyptian dialect came in the first place and Emirati dialect in the second place. Prosodic features such as the tone and loudness of the voice are expressed by the mean of character repetition, Punctuation usage across the Arabic dialects was limited, and Lebanese seemed to use them the most, Arabs tend to replace punctuation marks with emojis, finally, Arabs used vocal expressions like Interjections to communicate their affective state.
文摘With over a thousand emoji pictures to represent our words, let’s take a closer look at this fastgrowing language.According to Professor Vyv Evans of Bangor University, Emoji is the UK’s fastest-growing language–evolving faster than any language in history. These little electronic images started life in Japanese mobile phones in the 90s and are now hugely popular.
文摘随着基于互联网的社交媒体兴起,Emoji由于具有以图形化方式快速准确地表达情绪的特点,目前已经成为用户在日常交流中广泛使用的图像文本。已有研究工作表明,在基于文本的情绪识别模型中考虑Emoji信息,对于提升模型性能具有重要的作用。目前,考虑Emoji信息的情绪识别模型大多采用词嵌入模型学习Emoji表示,得到的Emoji向量缺乏与目标情绪的直接关联,Emoji表示蕴含的情绪识别信息较少。针对上述问题,该文通过软标签为Emoji构建与目标情绪直接关联的情感分布向量,并将Emoji情感分布信息与基于预训练模型的文本语义信息相结合,提出融合Emoji情感分布的多标签情绪识别方法(Emoji Emotion Distribution Information Fusion for Multi-label Emotion Recognition,EIFER)。EIFER方法在经典的二元交叉熵损失函数的基础上,通过引入标签相关感知损失对情绪标签间存在的相关性进行建模,以提升模型的多标签情绪识别性能。EIFER方法的模型结构由语义信息模块、Emoji信息模块和多损失函数预测模块组成,采用端到端的方式对模型进行训练。在SemEval2018英文数据集上的情绪预测对比实验结果表明,该文提出的EIFER方法比已有的情绪识别方法具有更优的性能。
文摘The developed system for eye and face detection using Convolutional Neural Networks(CNN)models,followed by eye classification and voice-based assistance,has shown promising potential in enhancing accessibility for individuals with visual impairments.The modular approach implemented in this research allows for a seamless flow of information and assistance between the different components of the system.This research significantly contributes to the field of accessibility technology by integrating computer vision,natural language processing,and voice technologies.By leveraging these advancements,the developed system offers a practical and efficient solution for assisting blind individuals.The modular design ensures flexibility,scalability,and ease of integration with existing assistive technologies.However,it is important to acknowledge that further research and improvements are necessary to enhance the system’s accuracy and usability.Fine-tuning the CNN models and expanding the training dataset can improve eye and face detection as well as eye classification capabilities.Additionally,incorporating real-time responses through sophisticated natural language understanding techniques and expanding the knowledge base of ChatGPT can enhance the system’s ability to provide comprehensive and accurate responses.Overall,this research paves the way for the development of more advanced and robust systems for assisting visually impaired individuals.By leveraging cutting-edge technologies and integrating them into amodular framework,this research contributes to creating a more inclusive and accessible society for individuals with visual impairments.Future work can focus on refining the system,addressing its limitations,and conducting user studies to evaluate its effectiveness and impact in real-world scenarios.
文摘As the so-called'IP fever'in China’s film industry sputters to a halt,producers are hoping animation will help boost a faltering business model.Originating from China’s online culture,'intellectual property'(IP)can refer to online novels,games,or streamed entertainment that are considered marketable as mainstream media.Ahead of this year’s international Licensing Expo,held in Shanghai from July 18 to 20,
