Decision Theory and Discourse Particles: A Case Study from a Large Japanese Sentiment Corpus
نویسنده
چکیده
The distribution and use of the Japanese particle yo is examined using a large annotated sentiment corpus. The data is shown to support a decision-theoretic account of yo’s meaning (Davis, 2009). A decision-theoretic approach to the analysis of sentiment corpora is proposed, by which empirical predictions of decision-theoretic formal analyses can be tested using large sets of naturalistic data.
منابع مشابه
Using relational discourse structure information in Basque sentiment analysis
This paper presents a study in sentiment analysis which exploits information of the relational discourse structure in a Basque corpus consisting of literature reviews. The QWN-PPV method was employed to label all the texts at element level and the Rhetorical Structure Theory (RST) was used to extract discourse structure information. The preliminary results show that discourse structure is effec...
متن کاملA social-event based approach to sentiment analysis of identities and behaviors in text
We describe a new methodology to infer sentiments held towards identities and behaviors from social events that we extract from a large corpus of newspaper text. Our approach draws on Affect Control Theory, a mathematical model of how sentiment is encoded in social events and culturally-shared views towards identities and behaviors. While most sentiment analysis approaches evaluate concepts on ...
متن کاملThe Effect of Corpus Size on Case Frame Acquisition for Discourse Analysis
This paper reports the effect of corpus size on case frame acquisition for discourse analysis in Japanese. For this study, we collected a Japanese corpus consisting of up to 100 billion words, and constructed case frames from corpora of six different sizes. Then, we applied these case frames to syntactic and case structure analysis, and zero anaphora resolution. We obtained better results by us...
متن کاملAnalyses of the Association between Discourse Relation and Sentiment Polarity with a Chinese Human-Annotated Corpus
Discourse relation may entail sentiment information. In this work, we annotate both discourse relation and sentiment information on a moderate-sized Chinese corpus extracted from the ClueWeb09. Based on the annotation, we investigate the association between the relation type and the sentiment polarity in Chinese and interpret the data from various aspects. Finally, we highlight some language ph...
متن کاملToward a Discourse Theory for Annotating Causal Relations in Japanese
We present a revised discourse theory based on segmented discourse representation theory and provide a method for building a Japanese corpus suitable for causal relation extraction. This extends and refines the framework proposed in Kaneko and Bekki (2014), and we evaluate our corpus and compare it with that work.
متن کامل