title: Determining word–emotion associations from tweets by multi-label classification

authors: Bravo-Marquez, Felipe

subjects: computer science

abstract: The automatic detection of emotions in Twitter posts is a challenging task due to the informal nature of the language used in this platform. In this paper, we propose a methodology for expanding the NRC word-emotion association lexicon for the language used in Twitter. We perform this expansion using multi-label classification of words and compare different wordlevel features extracted from unlabelled tweets such as unigrams, Brown clusters, POS tags, and word2vec embeddings. The results show that the expanded lexicon achieves major improvements over the original lexicon when classifying tweets into emotional categories. In contrast to previous work, our methodology does not depend on tweets annotated with emotional hashtags, thus enabling the identification of emotional words from any domainspecific collection using unlabelled tweets.

text: Determining word–emotion associations from tweets by multi-label classification The automatic detection of emotions in Twitter posts is a challenging task due to the informal nature of the language used in this platform. In this paper, we propose a methodology for expanding the NRC word-emotion association lexicon for the language used in Twitter. We perform this expansion using multi-label classification of words and compare different wordlevel features extracted from unlabelled tweets such as unigrams, Brown clusters, POS tags, and word2vec embeddings. The results show that the expanded lexicon achieves major improvements over the original lexicon when classifying tweets into emotional categories. In contrast to previous work, our methodology does not depend on tweets annotated with emotional hashtags, thus enabling the identification of emotional words from any domainspecific collection using unlabelled tweets.

year: 2016

title: Technology and consumer well-being

authors: Weijers, Dan M.

subjects: artificial intelligence

abstract: This chapter reviews consumers’ interactions with technology and its influence on their well-being and especially psychological well-being. Focus areas discussed in the chapter include smartphones, games, social media, health information technology, artificial intelligence, augmented reality, and virtual reality. Some of the specific technologies considered include chatbots, service robots, the use of virtual and augmented reality in the consumer realm, continuous engagement with digital and mobile technologies, mobile health technologies, and activity-promoting gaming. For the most part, the research shows that technology is not generally detrimental to well-being. Rather, the way technology is used tends to predict whether there are benefits or risks to well-being. The chapter also discusses some extra dangers for the less-tech-savvy and policy recommendations for minimizing and mitigating the risks technology poses without unnecessarily limiting the potentially life-changing benefits. It is recommended that children are educated about the difference between beneficial and problematic smartphone use, that schools should decide when or whether smartphones can be used in classrooms, that cryptocurrencies should be regulated to protect the environment and consumers, and that industry standards are adopted to protect consumers of artificially intelligent friends.

text: Technology and consumer well-being This chapter reviews consumers’ interactions with technology and its influence on their well-being and especially psychological well-being. Focus areas discussed in the chapter include smartphones, games, social media, health information technology, artificial intelligence, augmented reality, and virtual reality. Some of the specific technologies considered include chatbots, service robots, the use of virtual and augmented reality in the consumer realm, continuous engagement with digital and mobile technologies, mobile health technologies, and activity-promoting gaming. For the most part, the research shows that technology is not generally detrimental to well-being. Rather, the way technology is used tends to predict whether there are benefits or risks to well-being. The chapter also discusses some extra dangers for the less-tech-savvy and policy recommendations for minimizing and mitigating the risks technology poses without unnecessarily limiting the potentially life-changing benefits. It is recommended that children are educated about the difference between beneficial and problematic smartphone use, that schools should decide when or whether smartphones can be used in classrooms, that cryptocurrencies should be regulated to protect the environment and consumers, and that industry standards are adopted to protect consumers of artificially intelligent friends.

year: 2024

title: Maori women and research: Researching ourselves

authors: Te Awekotuku, Ngahuia

subjects: Maori

abstract: This was the closing keynote address at the Student Symposium organized by the Maori &
Psychology Research Unit at the University of Waikato, Hamilton in August 1999. Most of the
people attending were Maori, and female, and I spoke to, for, and about us. The speech was
transcribed from an oral address with transparencies, and has been revised here for this
publication.

text: Maori women and research: Researching ourselves This was the closing keynote address at the Student Symposium organized by the Maori &
Psychology Research Unit at the University of Waikato, Hamilton in August 1999. Most of the
people attending were Maori, and female, and I spoke to, for, and about us. The speech was
transcribed from an oral address with transparencies, and has been revised here for this
publication.

year: 1999