Japanese Blogs Research Articles

How religion and morality correlate in age of society 5.0: Statistical analysis of emotional and moral associations with Buddhist religious terms appearing on Japanese blogs

In this paper we analyzed how much religious vocabulary, in particular Buddhist vocabulary taken from the largest online dictionary of Buddhist terms, is present in everyday social space of Japanese people, particularly, in Japanese blog entries appearing on a popular blog service (Ameba blogs). We interpreted the level of everyday usage of Buddhist terms as appearance of such terms in the consciousness of people. We further analyzed what emotional and moral associations such contents generate. In particular, we analyzed whether expressions containing Buddhist vocabulary are considered appropriate or not from a moral point of view, as well as the emotional response of Internet users to Buddhist terminology. As a result of analyzing the data, we found out that Buddhist terms were in fact not absent as a theme from Japanese blogs and generated a strong emotional response. However, while the general reaction to several expressions using Buddhist terms was as expected, there were sometimes surprising twists in terms of social consequences, major discrepancies between what is perceived as ethically correct behavior between the Buddhist doctrine and the reasoning of the general population, as well as a considerate number of terms which have lost their original meaning and instead became slang expressions.

Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis

This paper presents our research on automatic annotation of a five-billion-word corpus of Japanese blogs with information on affect and sentiment. We first perform a study in emotion blog corpora to discover that there has been no large scale emotion corpus available for the Japanese language. We choose the largest blog corpus for the language and annotate it with the use of two systems for affect analysis: ML-Ask for word- and sentence-level affect analysis and CAO for detailed analysis of emoticons. The annotated information includes affective features like sentence subjectivity (emotive/non-emotive) or emotion classes (joy, sadness, etc.), useful in affect analysis. The annotations are also generalized on a two-dimensional model of affect to obtain information on sentence valence (positive/negative), useful in sentiment analysis. The annotations are evaluated in several ways. Firstly, on a test set of a thousand sentences extracted randomly and evaluated by over forty respondents. Secondly, the statistics of annotations are compared to other existing emotion blog corpora. Finally, the corpus is applied in several tasks, such as generation of emotion object ontology or retrieval of emotional and moral consequences of actions.

Net Increase? Cross-Lingual Linking in the Blogosphere

This research analyzes linguistic barriers and cross-lingual interaction through link analysis of more than 100,000 blogs discussing the 2010 Haitian earthquake in English, Spanish, and Japanese. In addition, cross-lingual hyperlinks are qualitatively coded. This study finds English-language blogs are significantly less likely to link cross-lingually than Spanish or Japanese blogs. However, bloggers' awareness of foreign language content increases over time. Personal blogs contain most cross-lingual links, and these links point to (primarily English-language) media. Finally, most cross-lingual links in the dataset signal a citation or reference relationship while a smaller number of cross-lingual links signal a translation. Although most bloggers link to other blogs in the same language, the dataset reveals a surprising level of human translation in the blogosphere.

The Place for Politics in the Abundance of Japanese Blogs

The Place for Politics in the Abundance of Japanese Blogs