title: Meta-level sentiment models for big social data analysis

authors: Bravo-Marquez, Felipe

subjects: Sentiment Classification

abstract: People react to events, topics and entities by expressing their personal opinions and emotions. These reactions can correspond to a wide range of intensities, from very mild to strong. An adequate processing and understanding of these expressions has been the subject of research in several fields, such as business and politics. In this context, Twitter sentiment analysis, which is the task of automatically identifying and extracting subjective information from tweets, has received increasing attention from the Web mining community. Twitter provides an extremely valuable insight into human opinions, as well as new challenging Big Data problems. These problems include the processing of massive volumes of streaming data, as well as the automatic identification of human expressiveness within short text messages. In that area, several methods and lexical resources have been proposed in order to extract sentiment indicators from natural language texts at both syntactic and semantic levels. These approaches address different dimensions of opinions, such as subjectivity, polarity, intensity and emotion. This article is the first study of how these resources, which are focused on different sentiment scopes, complement each other. With this purpose we identify scenarios in which some of these resources are more useful than others. Furthermore, we propose a novel approach for sentiment classification based on meta-level features. This supervised approach boosts existing sentiment classification of subjectivity and polarity detection on Twitter. Our results show that the combination of meta-level features provides significant improvements in performance. However, we observe that there are important differences that rely on the type of lexical resource, the dataset used to build the model, and the learning strategy. Experimental results indicate that manually generated lexicons are focused on emotional words, being very useful for polarity prediction. On the other hand, lexicons generated with automatic methods include neutral words, introducing noise in the detection of subjectivity. Our findings indicate that polarity and subjectivity prediction are different dimensions of the same problem, but they need to be addressed using different subspace features. Lexicon-based approaches are recommendable for polarity, and stylistic part-of-speech based approaches are meaningful for subjectivity. With this research we offer a more global insight of the resource components for the complex task of classifying human emotion and opinion.

text: Meta-level sentiment models for big social data analysis People react to events, topics and entities by expressing their personal opinions and emotions. These reactions can correspond to a wide range of intensities, from very mild to strong. An adequate processing and understanding of these expressions has been the subject of research in several fields, such as business and politics. In this context, Twitter sentiment analysis, which is the task of automatically identifying and extracting subjective information from tweets, has received increasing attention from the Web mining community. Twitter provides an extremely valuable insight into human opinions, as well as new challenging Big Data problems. These problems include the processing of massive volumes of streaming data, as well as the automatic identification of human expressiveness within short text messages. In that area, several methods and lexical resources have been proposed in order to extract sentiment indicators from natural language texts at both syntactic and semantic levels. These approaches address different dimensions of opinions, such as subjectivity, polarity, intensity and emotion. This article is the first study of how these resources, which are focused on different sentiment scopes, complement each other. With this purpose we identify scenarios in which some of these resources are more useful than others. Furthermore, we propose a novel approach for sentiment classification based on meta-level features. This supervised approach boosts existing sentiment classification of subjectivity and polarity detection on Twitter. Our results show that the combination of meta-level features provides significant improvements in performance. However, we observe that there are important differences that rely on the type of lexical resource, the dataset used to build the model, and the learning strategy. Experimental results indicate that manually generated lexicons are focused on emotional words, being very useful for polarity prediction. On the other hand, lexicons generated with automatic methods include neutral words, introducing noise in the detection of subjectivity. Our findings indicate that polarity and subjectivity prediction are different dimensions of the same problem, but they need to be addressed using different subspace features. Lexicon-based approaches are recommendable for polarity, and stylistic part-of-speech based approaches are meaningful for subjectivity. With this research we offer a more global insight of the resource components for the complex task of classifying human emotion and opinion.

year: 2014-10

title: `Human clones talk about their lives': Media representations of assisted reproductive and biogenetic technologies

authors: Michelle, Carolyn

subjects: anecdotal personalization

abstract: This article examines New Zealand print media representations of assisted reproductive and related biogenetic technologies, conceptualized as the products of a concordance of interest between media workers and reproductive specialists, biogenetic scientists and consumers. Such concordance is evident in the predominant use of media frames of anecdotal personalization and technoboosterism, which typically amplify the voices of proponents of emerging technologies while marginalizing and delegitimizing counterdiscourses. Thus, the perspectives of consumers and 'expert' sources are privileged at the expense of a more balanced assessment of the value and social, ethical, legal and health implications of assisted reproductive and related biogenetic technologies. Source dependence also detracts from much-needed recognition of the professional and financial interests at stake in the growing privatization and commercialization of these technologies, and in the local context potentially undermines journalistic independence and integrity.

text: `Human clones talk about their lives': Media representations of assisted reproductive and biogenetic technologies This article examines New Zealand print media representations of assisted reproductive and related biogenetic technologies, conceptualized as the products of a concordance of interest between media workers and reproductive specialists, biogenetic scientists and consumers. Such concordance is evident in the predominant use of media frames of anecdotal personalization and technoboosterism, which typically amplify the voices of proponents of emerging technologies while marginalizing and delegitimizing counterdiscourses. Thus, the perspectives of consumers and 'expert' sources are privileged at the expense of a more balanced assessment of the value and social, ethical, legal and health implications of assisted reproductive and related biogenetic technologies. Source dependence also detracts from much-needed recognition of the professional and financial interests at stake in the growing privatization and commercialization of these technologies, and in the local context potentially undermines journalistic independence and integrity.

year: 2007-07-01

title: Mā Muri Ko Mua: An introduction to the issues associated with the translation of the Pene Haare manuscript

authors: Tipene, Jillian

subjects: translation

abstract: Keywords: translation; translation theory; translation practice; Ngakuru Pene Haare; Te Rarawa; manuscript; Māori-English translation; ethically grounded translation.

In September 2007, a copy of a typewritten transcript of a manuscript dated 1923 and written by Ngakuru Pene Hare was given to a member of staff of the University of Waikato by Stephen Burke and Bella Wade, descendants of the author, who requested that the University provide a scholarly treatment and translation into English of the text. Also provided later were copies of letters written by the author and a copy of the original handwritten manuscript. The original manuscript, written in the Te Rarawa ki Hokianga dialect of te reo Māori of the author's time, consists of 239 leaves and contains accounts of at least 62 Ngāpuhi battles, most of which took place between 1820 and 1840. 

The research reported here seeks to identify issues and problems that must be addressed if a competent and ethically-grounded translation is to be produced.  Among the issues and problems identified are a number of critical ones. These include the paucity of information that is publicly available about the author, the context in which he lived and worked and the events about which he wrote. Also identified as being problematic are aspects of the text itself. Thus, for example, many of the conventions associated with contemporary writing in Māori (such as paragraphing and the signalling of word and sentence boundaries) are applied only sporadically. Some of the words and expressions used are archaic and/or esoteric, and symbolism that is deeply culturally-embedded characterises much of the text. Also of significance is the impact of writing on conventions associated with the oral transmission of information. The author's intention in producing the text is also identified as being of fundamental importance in relation to the process and product of translation, as are issues associated with the putative readership of that translation. Of paramount importance is the sacred and sensitive nature of the text itself and much of its content. 

In addressing these issues, a wide range of sources are drawn upon. These include the text itself and the transcription of the text, letters and other material written by, or directly influenced by the author, photographs that reveal important information about him, and a wide range of sources of information and opinion (written and oral) about the author and/ or the times and places in which he lived and the events about which he wrote. Also drawn upon is literature in the areas of linguistics and discourse analysis and the theory and practice of translation, including literature written by the growing number of Māori scholars who have focused on issues associated with translation involving Māori and English.

Among the recommendations made are that the translation, a gloss translation that includes explanatory notes, be undertaken, with tikanga Māori as guiding principles, under the mentorship of knowledgeable elders and in consultation with those to whom the manuscript belongs.

text: Mā Muri Ko Mua: An introduction to the issues associated with the translation of the Pene Haare manuscript Keywords: translation; translation theory; translation practice; Ngakuru Pene Haare; Te Rarawa; manuscript; Māori-English translation; ethically grounded translation.

In September 2007, a copy of a typewritten transcript of a manuscript dated 1923 and written by Ngakuru Pene Hare was given to a member of staff of the University of Waikato by Stephen Burke and Bella Wade, descendants of the author, who requested that the University provide a scholarly treatment and translation into English of the text. Also provided later were copies of letters written by the author and a copy of the original handwritten manuscript. The original manuscript, written in the Te Rarawa ki Hokianga dialect of te reo Māori of the author's time, consists of 239 leaves and contains accounts of at least 62 Ngāpuhi battles, most of which took place between 1820 and 1840. 

The research reported here seeks to identify issues and problems that must be addressed if a competent and ethically-grounded translation is to be produced.  Among the issues and problems identified are a number of critical ones. These include the paucity of information that is publicly available about the author, the context in which he lived and worked and the events about which he wrote. Also identified as being problematic are aspects of the text itself. Thus, for example, many of the conventions associated with contemporary writing in Māori (such as paragraphing and the signalling of word and sentence boundaries) are applied only sporadically. Some of the words and expressions used are archaic and/or esoteric, and symbolism that is deeply culturally-embedded characterises much of the text. Also of significance is the impact of writing on conventions associated with the oral transmission of information. The author's intention in producing the text is also identified as being of fundamental importance in relation to the process and product of translation, as are issues associated with the putative readership of that translation. Of paramount importance is the sacred and sensitive nature of the text itself and much of its content. 

In addressing these issues, a wide range of sources are drawn upon. These include the text itself and the transcription of the text, letters and other material written by, or directly influenced by the author, photographs that reveal important information about him, and a wide range of sources of information and opinion (written and oral) about the author and/ or the times and places in which he lived and the events about which he wrote. Also drawn upon is literature in the areas of linguistics and discourse analysis and the theory and practice of translation, including literature written by the growing number of Māori scholars who have focused on issues associated with translation involving Māori and English.

Among the recommendations made are that the translation, a gloss translation that includes explanatory notes, be undertaken, with tikanga Māori as guiding principles, under the mentorship of knowledgeable elders and in consultation with those to whom the manuscript belongs.

year: 2009